```python
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

```


```python
plt.style.use(['ggplot'])
```

# Create Data

<h5> Generate some data with:
\begin{equation} \theta_0= 4 \end{equation} 
\begin{equation} \theta_1= 3 \end{equation} 

Add some Gaussian noise to the data


```python
X = 2 * np.random.rand(100,1)
y = 4 +3 * X+np.random.randn(100,1)
```

Let's plot our data to check the relation between X and Y


```python
plt.plot(X,y,'b.')
plt.xlabel("$x$", fontsize=18)
plt.ylabel("$y$", rotation=0, fontsize=18)
_ =plt.axis([0,2,0,15])
```

#  Analytical way of Linear Regression


```python
X_b = np.c_[np.ones((100,1)),X]
print("X_b shape: {}".format(X_b.shape))
theta_best = np.linalg.inv(X_b.T.dot(X_b)).dot(X_b.T).dot(y)
print(theta_best)
```

    X_b shape: (100, 2)
    [[4.24558664]
     [2.79700746]]


<h5>This is close to our real thetas 4 and 3. It cannot be accurate due to the noise I have introduced in data


```python
X_new = np.array([[0],[2]])
X_new_b = np.c_[np.ones((2,1)),X_new]
y_predict = X_new_b.dot(theta_best)
y_predict
```




    array([[ 4.00988308],
           [10.01872123]])



<h5>Let's plot prediction line with calculated:theta


```python
plt.plot(X_new,y_predict,'r-')
plt.plot(X,y,'b.')
plt.xlabel("$x_1$", fontsize=18)
plt.ylabel("$y$", rotation=0, fontsize=18)
plt.axis([0,2,0,15])
```

# Gradient Descent

## Cost Function & Gradients

<h4> The equation for calculating cost function and gradients are as shown below. Please note the cost function is for Linear regression. For other algorithms the cost function will be different and the gradients would have  to be derived from the cost functions



<b>Cost</b>
\begin{equation}
J(\theta) = 1/2m \sum_{i=1}^{m} (h(\theta)^{(i)} - y^{(i)})^2 
\end{equation}

<b>Gradient</b>

\begin{equation}
\frac{\partial J(\theta)}{\partial \theta_j} = 1/m\sum_{i=1}^{m}(h(\theta^{(i)} - y^{(i)}).X_j^{(i)}
\end{equation}

<b>Gradients</b>
\begin{equation}
\theta_0: = \theta_0 -\alpha . (1/m .\sum_{i=1}^{m}(h(\theta^{(i)} - y^{(i)}).X_0^{(i)})
\end{equation}
\begin{equation}
\theta_1: = \theta_1 -\alpha . (1/m .\sum_{i=1}^{m}(h(\theta^{(i)} - y^{(i)}).X_1^{(i)})
\end{equation}
\begin{equation}
\theta_2: = \theta_2 -\alpha . (1/m .\sum_{i=1}^{m}(h(\theta^{(i)} - y^{(i)}).X_2^{(i)})
\end{equation}

\begin{equation}
\theta_j: = \theta_j -\alpha . (1/m .\sum_{i=1}^{m}(h(\theta^{(i)} - y^{(i)}).X_0^{(i)})
\end{equation}


```python
def cal_cost(theta,X,y):
    '''
    Calculates the cost for given X and Y. The following shows and example of a single dimensional X
    theta = Vector of thetas 
    X     = Row of X's np.zeros((2,j))
    y     = Actual y's np.zeros((2,1))
    
    where:
        j is the no of features
    '''
    
    m = len(y)
    
    predictions = X.dot(theta)
    cost = (1/2*m) * np.sum(np.square(predictions-y))
    return cost
```


```python
def gradient_descent(X,y,theta,learning_rate=0.01,iterations=100):
    '''
    X    = Matrix of X with added bias units
    y    = Vector of Y
    theta=Vector of thetas np.random.randn(j,1)
    learning_rate 
    iterations = no of iterations
    
    Returns the final theta vector and array of cost history over no of iterations
    '''
    m = len(y)
    cost_history = np.zeros(iterations)
    theta_history = np.zeros((iterations,2))
    for it in range(iterations):
        
        prediction = np.dot(X,theta)
        
        theta = theta -(1/m)*learning_rate*( X.T.dot((prediction - y)))
#         print("theta size: {}, trans: {}".format(theta.shape, theta.T.shape))
        theta_history[it,:] =theta.T
        cost_history[it]  = cal_cost(theta,X,y)
        
    return theta, cost_history, theta_history
```

<h3> Let's start with 1000 iterations and a learning rate of 0.01. Start with theta from a Gaussian distribution


```python
lr =0.01
n_iter = 1000

theta = np.random.randn(2,1)

X_b = np.c_[np.ones((len(X),1)),X]
print("X_b size: {}, y size: {}, theta size: {}".format(X_b.shape, y.shape, theta.shape))
theta,cost_history,theta_history = gradient_descent(X_b,y,theta,lr,n_iter)


print('Theta0:          {:0.3f},\nTheta1:          {:0.3f}'.format(theta[0][0],theta[1][0]))
print('Final cost/MSE:  {:0.3f}'.format(cost_history[-1]))
```

    X_b size: (100, 2), y size: (100, 1), theta size: (2, 1)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    theta size: (2, 1), trans: (1, 2)
    Theta0:          3.719,
    Theta1:          3.252
    Final cost/MSE:  5960.308


<h3> Let's plot the cost history over iterations


```python
fig,ax = plt.subplots(figsize=(12,8))

ax.set_ylabel('J(Theta)')
ax.set_xlabel('Iterations')
_=ax.plot(range(n_iter),cost_history,'b.')
```

<h3> After around 150 iterations the cost is flat so the remaining iterations  are not needed or will not result in any further optimization. Let us zoom in till iteration 200 and see the curve


```python
fig,ax = plt.subplots(figsize=(10,8))
_=ax.plot(range(200),cost_history[:200],'b.')
```

<b>It is worth while to note that the cost drops faster initially and then the gain in cost reduction is not as much

### It would be great to see the effect of different learning rates and iterations together

### Let us  build a function which can show the effects together and also show how gradient decent actually is working


```python
def plot_GD(n_iter,lr,ax,ax1=None):
     """
     n_iter = no of iterations
     lr = Learning Rate
     ax = Axis to plot the Gradient Descent
     ax1 = Axis to plot cost_history vs Iterations plot

     """
     _ = ax.plot(X,y,'b.')
     theta = np.random.randn(2,1)

     tr =0.1
     cost_history = np.zeros(n_iter)
     for i in range(n_iter):
        pred_prev = X_b.dot(theta)
        theta,h,_ = gradient_descent(X_b,y,theta,lr,1)
        pred = X_b.dot(theta)

        cost_history[i] = h[0]

        if ((i % 25 == 0) ):
            _ = ax.plot(X,pred,'r-',alpha=tr)
            if tr < 0.8:
                tr = tr+0.2
     if not ax1== None:
        _ = ax1.plot(range(n_iter),cost_history,'b.')  
```

### Plot the graphs for different iterations and learning rates combination


```python
fig = plt.figure(figsize=(30,25))
fig.subplots_adjust(hspace=0.4, wspace=0.4)

it_lr =[(2000,0.001),(500,0.01),(200,0.05),(100,0.1)]
count =0
for n_iter, lr in it_lr:
    count += 1
    
    ax = fig.add_subplot(4, 2, count)
    count += 1
   
    ax1 = fig.add_subplot(4,2,count)
    
    ax.set_title("lr:{}".format(lr))
    ax1.set_title("Iterations:{}".format(n_iter))
    plot_GD(n_iter,lr,ax,ax1)
```

<b> See how useful it is to visualize the effect of learning rates and iterations on gradient descent. The red lines show how the gradient descent starts and then slowly gets closer to the final value

## You can always plot Indiviual graphs to zoom in


```python
_,ax = plt.subplots(figsize=(14,10))
plot_GD(100,0.1,ax)
```

# Stochastic Gradient Descent


```python
def stocashtic_gradient_descent(X,y,theta,learning_rate=0.01,iterations=10):
    '''
    X    = Matrix of X with added bias units
    y    = Vector of Y
    theta=Vector of thetas np.random.randn(j,1)
    learning_rate 
    iterations = no of iterations
    
    Returns the final theta vector and array of cost history over no of iterations
    '''
    m = len(y)
    cost_history = np.zeros(iterations)
    
    
    for it in range(iterations):
        cost =0.0
        for i in range(m):
            rand_ind = np.random.randint(0,m)
            X_i = X[rand_ind,:].reshape(1,X.shape[1])
            y_i = y[rand_ind].reshape(1,1)
            prediction = np.dot(X_i,theta)

            theta = theta -(1/m)*learning_rate*( X_i.T.dot((prediction - y_i)))
            cost += cal_cost(theta,X_i,y_i)
        cost_history[it]  = cost
        
    return theta, cost_history
```


```python
lr =0.5
n_iter = 50

theta = np.random.randn(2,1)

X_b = np.c_[np.ones((len(X),1)),X]
theta,cost_history = stocashtic_gradient_descent(X_b,y,theta,lr,n_iter)


print('Theta0:          {:0.3f},\nTheta1:          {:0.3f}'.format(theta[0][0],theta[1][0]))
print('Final cost/MSE:  {:0.3f}'.format(cost_history[-1]))
```

    Theta0:          4.095,
    Theta1:          3.055
    Final cost/MSE:  49.489



```python
fig,ax = plt.subplots(figsize=(10,8))

ax.set_ylabel('{J(Theta)}',rotation=0)
ax.set_xlabel('{Iterations}')
theta = np.random.randn(2,1)

_=ax.plot(range(n_iter),cost_history,'b.')
```

# Mini Batch Gradient Descent


```python
def minibatch_gradient_descent(X,y,theta,learning_rate=0.01,iterations=10,batch_size =20):
    '''
    X    = Matrix of X without added bias units
    y    = Vector of Y
    theta=Vector of thetas np.random.randn(j,1)
    learning_rate 
    iterations = no of iterations
    
    Returns the final theta vector and array of cost history over no of iterations
    '''
    m = len(y)
    cost_history = np.zeros(iterations)
    n_batches = int(m/batch_size)
    
    for it in range(iterations):
        cost =0.0
        indices = np.random.permutation(m)
        X = X[indices]
        y = y[indices]
        for i in range(0,m,batch_size):
            X_i = X[i:i+batch_size]
            y_i = y[i:i+batch_size]
            
            X_i = np.c_[np.ones(len(X_i)),X_i]
           
            prediction = np.dot(X_i,theta)

            theta = theta -(1/m)*learning_rate*( X_i.T.dot((prediction - y_i)))
            cost += cal_cost(theta,X_i,y_i)
        cost_history[it]  = cost
        
    return theta, cost_history
```


```python
lr =0.1
n_iter = 200

theta = np.random.randn(2,1)


theta,cost_history = minibatch_gradient_descent(X,y,theta,lr,n_iter)


print('Theta0:          {:0.3f},\nTheta1:          {:0.3f}'.format(theta[0][0],theta[1][0]))
print('Final cost/MSE:  {:0.3f}'.format(cost_history[-1]))
```

    Theta0:          4.084,
    Theta1:          3.047
    Final cost/MSE:  944.948



```python
fig,ax = plt.subplots(figsize=(10,8))

ax.set_ylabel('{J(Theta)}',rotation=0)
ax.set_xlabel('{Iterations}')
theta = np.random.randn(2,1)

_=ax.plot(range(n_iter),cost_history,'b.')
```


```python
import random


class LinearRegression:
    def __init__(self, l_rate, n_epoch, n_train_size):
        self.l_rate = l_rate
        self.n_epoch = n_epoch
        self.n_train_size = n_train_size
        self.coeff = [0.0, 0.0, 0.0]

    def fit(self, X, y):
        """
        Fit linear model with SGD.
        """
        for epoch in range(self.n_epoch):
            sum_loss = self.get_loss(X, y)
            print('>epoch=%d, lrate=%.3f, error=%.3f' % (epoch, self.l_rate, sum_loss))
    
    def get_coeff(self):
        return self.coeff[1:]
    
    def get_intercept(self):
        return self.coeff[0]
    
    # get the loss based on input X and label data y
    # J(θ)=1/(2m) ∑(hθ(x(i))−y(i))^2
    def get_loss(self, X, y):
        sum_loss = 0.0
        for X_row, y_row in zip(X, y):
            yhat = self.predict(X_row, self.coeff)
            loss = yhat - y_row
            sum_loss += loss**2
            self.coeff[0] = self.coeff[0] - self.l_rate * loss / n_train_size
            for i in range(len(X_row)):
                self.coeff[i+1] = self.coeff[i+1] - self.l_rate * loss * X_row[i] / n_train_size
        return sum_loss / 2 / n_train_size
        
    # make a prediction using coeff
    # hθ(x) = θTx=θ0 + θ1*x1 + θ2*x2
    def predict(self, X_row, coeff):
        yhat = coeff[0]
        for i in range(len(X_row)):
            yhat += coeff[i+1] * X_row[i]
        return yhat
```


```python
if __name__ == '__main__':
    X = [[random.randint(1, 30), random.randint(1, 30)] for _ in range(20)]
    y = [x[0] + 5 * x[1] + 7 for x in X]
    l_rate = 0.005
    n_epoch = 8000
    n_train_size = len(X)
    print("n_train_size: {}".format(n_train_size))
    linear_reg = LinearRegression(l_rate, n_epoch, n_train_size)
    linear_reg.fit(X, y)
    delta = 0.1
    intercept = linear_reg.get_intercept()
    coeff = linear_reg.get_coeff()
    print("intercept: {}".format(intercept))
    print("coeff: {}".format(coeff))
    assert abs(coeff[0] - 1) < delta
    assert abs(coeff[1] - 5) < delta
    assert abs(intercept - 7) < delta
```

    n_train_size: 20
    >epoch=0, lrate=0.005, error=1223.403
    >epoch=1, lrate=0.005, error=129.169
    >epoch=2, lrate=0.005, error=91.426
    >epoch=3, lrate=0.005, error=64.452
    >epoch=4, lrate=0.005, error=45.839
    >epoch=5, lrate=0.005, error=33.033
    >epoch=6, lrate=0.005, error=24.223
    >epoch=7, lrate=0.005, error=18.164
    >epoch=8, lrate=0.005, error=13.997
    >epoch=9, lrate=0.005, error=11.132
    >epoch=10, lrate=0.005, error=9.161
    >epoch=11, lrate=0.005, error=7.806
    >epoch=12, lrate=0.005, error=6.874
    >epoch=13, lrate=0.005, error=6.232
    >epoch=14, lrate=0.005, error=5.790
    >epoch=15, lrate=0.005, error=5.485
    >epoch=16, lrate=0.005, error=5.273
    >epoch=17, lrate=0.005, error=5.126
    >epoch=18, lrate=0.005, error=5.023
    >epoch=19, lrate=0.005, error=4.950
    >epoch=20, lrate=0.005, error=4.898
    >epoch=21, lrate=0.005, error=4.859
    >epoch=22, lrate=0.005, error=4.830
    >epoch=23, lrate=0.005, error=4.808
    >epoch=24, lrate=0.005, error=4.790
    >epoch=25, lrate=0.005, error=4.774
    >epoch=26, lrate=0.005, error=4.761
    >epoch=27, lrate=0.005, error=4.749
    >epoch=28, lrate=0.005, error=4.738
    >epoch=29, lrate=0.005, error=4.728
    >epoch=30, lrate=0.005, error=4.718
    >epoch=31, lrate=0.005, error=4.708
    >epoch=32, lrate=0.005, error=4.698
    >epoch=33, lrate=0.005, error=4.689
    >epoch=34, lrate=0.005, error=4.679
    >epoch=35, lrate=0.005, error=4.669
    >epoch=36, lrate=0.005, error=4.660
    >epoch=37, lrate=0.005, error=4.651
    >epoch=38, lrate=0.005, error=4.641
    >epoch=39, lrate=0.005, error=4.632
    >epoch=40, lrate=0.005, error=4.622
    >epoch=41, lrate=0.005, error=4.613
    >epoch=42, lrate=0.005, error=4.603
    >epoch=43, lrate=0.005, error=4.594
    >epoch=44, lrate=0.005, error=4.584
    >epoch=45, lrate=0.005, error=4.575
    >epoch=46, lrate=0.005, error=4.566
    >epoch=47, lrate=0.005, error=4.556
    >epoch=48, lrate=0.005, error=4.547
    >epoch=49, lrate=0.005, error=4.537
    >epoch=50, lrate=0.005, error=4.528
    >epoch=51, lrate=0.005, error=4.519
    >epoch=52, lrate=0.005, error=4.509
    >epoch=53, lrate=0.005, error=4.500
    >epoch=54, lrate=0.005, error=4.491
    >epoch=55, lrate=0.005, error=4.482
    >epoch=56, lrate=0.005, error=4.472
    >epoch=57, lrate=0.005, error=4.463
    >epoch=58, lrate=0.005, error=4.454
    >epoch=59, lrate=0.005, error=4.445
    >epoch=60, lrate=0.005, error=4.436
    >epoch=61, lrate=0.005, error=4.427
    >epoch=62, lrate=0.005, error=4.417
    >epoch=63, lrate=0.005, error=4.408
    >epoch=64, lrate=0.005, error=4.399
    >epoch=65, lrate=0.005, error=4.390
    >epoch=66, lrate=0.005, error=4.381
    >epoch=67, lrate=0.005, error=4.372
    >epoch=68, lrate=0.005, error=4.363
    >epoch=69, lrate=0.005, error=4.354
    >epoch=70, lrate=0.005, error=4.345
    >epoch=71, lrate=0.005, error=4.336
    >epoch=72, lrate=0.005, error=4.327
    >epoch=73, lrate=0.005, error=4.318
    >epoch=74, lrate=0.005, error=4.309
    >epoch=75, lrate=0.005, error=4.300
    >epoch=76, lrate=0.005, error=4.292
    >epoch=77, lrate=0.005, error=4.283
    >epoch=78, lrate=0.005, error=4.274
    >epoch=79, lrate=0.005, error=4.265
    >epoch=80, lrate=0.005, error=4.256
    >epoch=81, lrate=0.005, error=4.248
    >epoch=82, lrate=0.005, error=4.239
    >epoch=83, lrate=0.005, error=4.230
    >epoch=84, lrate=0.005, error=4.221
    >epoch=85, lrate=0.005, error=4.213
    >epoch=86, lrate=0.005, error=4.204
    >epoch=87, lrate=0.005, error=4.195
    >epoch=88, lrate=0.005, error=4.187
    >epoch=89, lrate=0.005, error=4.178
    >epoch=90, lrate=0.005, error=4.169
    >epoch=91, lrate=0.005, error=4.161
    >epoch=92, lrate=0.005, error=4.152
    >epoch=93, lrate=0.005, error=4.144
    >epoch=94, lrate=0.005, error=4.135
    >epoch=95, lrate=0.005, error=4.127
    >epoch=96, lrate=0.005, error=4.118
    >epoch=97, lrate=0.005, error=4.109
    >epoch=98, lrate=0.005, error=4.101
    >epoch=99, lrate=0.005, error=4.093
    >epoch=100, lrate=0.005, error=4.084
    >epoch=101, lrate=0.005, error=4.076
    >epoch=102, lrate=0.005, error=4.067
    >epoch=103, lrate=0.005, error=4.059
    >epoch=104, lrate=0.005, error=4.051
    >epoch=105, lrate=0.005, error=4.042
    >epoch=106, lrate=0.005, error=4.034
    >epoch=107, lrate=0.005, error=4.026
    >epoch=108, lrate=0.005, error=4.017
    >epoch=109, lrate=0.005, error=4.009
    >epoch=110, lrate=0.005, error=4.001
    >epoch=111, lrate=0.005, error=3.992
    >epoch=112, lrate=0.005, error=3.984
    >epoch=113, lrate=0.005, error=3.976
    >epoch=114, lrate=0.005, error=3.968
    >epoch=115, lrate=0.005, error=3.960
    >epoch=116, lrate=0.005, error=3.951
    >epoch=117, lrate=0.005, error=3.943
    >epoch=118, lrate=0.005, error=3.935
    >epoch=119, lrate=0.005, error=3.927
    >epoch=120, lrate=0.005, error=3.919
    >epoch=121, lrate=0.005, error=3.911
    >epoch=122, lrate=0.005, error=3.903
    >epoch=123, lrate=0.005, error=3.895
    >epoch=124, lrate=0.005, error=3.887
    >epoch=125, lrate=0.005, error=3.879
    >epoch=126, lrate=0.005, error=3.871
    >epoch=127, lrate=0.005, error=3.863
    >epoch=128, lrate=0.005, error=3.855
    >epoch=129, lrate=0.005, error=3.847
    >epoch=130, lrate=0.005, error=3.839
    >epoch=131, lrate=0.005, error=3.831
    >epoch=132, lrate=0.005, error=3.823
    >epoch=133, lrate=0.005, error=3.815
    >epoch=134, lrate=0.005, error=3.807
    >epoch=135, lrate=0.005, error=3.799
    >epoch=136, lrate=0.005, error=3.792
    >epoch=137, lrate=0.005, error=3.784
    >epoch=138, lrate=0.005, error=3.776
    >epoch=139, lrate=0.005, error=3.768
    >epoch=140, lrate=0.005, error=3.760
    >epoch=141, lrate=0.005, error=3.753
    >epoch=142, lrate=0.005, error=3.745
    >epoch=143, lrate=0.005, error=3.737
    >epoch=144, lrate=0.005, error=3.730
    >epoch=145, lrate=0.005, error=3.722
    >epoch=146, lrate=0.005, error=3.714
    >epoch=147, lrate=0.005, error=3.706
    >epoch=148, lrate=0.005, error=3.699
    >epoch=149, lrate=0.005, error=3.691
    >epoch=150, lrate=0.005, error=3.684
    >epoch=151, lrate=0.005, error=3.676
    >epoch=152, lrate=0.005, error=3.668
    >epoch=153, lrate=0.005, error=3.661
    >epoch=154, lrate=0.005, error=3.653
    >epoch=155, lrate=0.005, error=3.646
    >epoch=156, lrate=0.005, error=3.638
    >epoch=157, lrate=0.005, error=3.631
    >epoch=158, lrate=0.005, error=3.623
    >epoch=159, lrate=0.005, error=3.616
    >epoch=160, lrate=0.005, error=3.608
    >epoch=161, lrate=0.005, error=3.601
    >epoch=162, lrate=0.005, error=3.593
    >epoch=163, lrate=0.005, error=3.586
    >epoch=164, lrate=0.005, error=3.579
    >epoch=165, lrate=0.005, error=3.571
    >epoch=166, lrate=0.005, error=3.564
    >epoch=167, lrate=0.005, error=3.557
    >epoch=168, lrate=0.005, error=3.549
    >epoch=169, lrate=0.005, error=3.542
    >epoch=170, lrate=0.005, error=3.535
    >epoch=171, lrate=0.005, error=3.527
    >epoch=172, lrate=0.005, error=3.520
    >epoch=173, lrate=0.005, error=3.513
    >epoch=174, lrate=0.005, error=3.506
    >epoch=175, lrate=0.005, error=3.498
    >epoch=176, lrate=0.005, error=3.491
    >epoch=177, lrate=0.005, error=3.484
    >epoch=178, lrate=0.005, error=3.477
    >epoch=179, lrate=0.005, error=3.470
    >epoch=180, lrate=0.005, error=3.462
    >epoch=181, lrate=0.005, error=3.455
    >epoch=182, lrate=0.005, error=3.448
    >epoch=183, lrate=0.005, error=3.441
    >epoch=184, lrate=0.005, error=3.434
    >epoch=185, lrate=0.005, error=3.427
    >epoch=186, lrate=0.005, error=3.420
    >epoch=187, lrate=0.005, error=3.413
    >epoch=188, lrate=0.005, error=3.406
    >epoch=189, lrate=0.005, error=3.399
    >epoch=190, lrate=0.005, error=3.392
    >epoch=191, lrate=0.005, error=3.385
    >epoch=192, lrate=0.005, error=3.378
    >epoch=193, lrate=0.005, error=3.371
    >epoch=194, lrate=0.005, error=3.364
    >epoch=195, lrate=0.005, error=3.357
    >epoch=196, lrate=0.005, error=3.350
    >epoch=197, lrate=0.005, error=3.343
    >epoch=198, lrate=0.005, error=3.336
    >epoch=199, lrate=0.005, error=3.329
    >epoch=200, lrate=0.005, error=3.322
    >epoch=201, lrate=0.005, error=3.315
    >epoch=202, lrate=0.005, error=3.309
    >epoch=203, lrate=0.005, error=3.302
    >epoch=204, lrate=0.005, error=3.295
    >epoch=205, lrate=0.005, error=3.288
    >epoch=206, lrate=0.005, error=3.281
    >epoch=207, lrate=0.005, error=3.275
    >epoch=208, lrate=0.005, error=3.268
    >epoch=209, lrate=0.005, error=3.261
    >epoch=210, lrate=0.005, error=3.254
    >epoch=211, lrate=0.005, error=3.248
    >epoch=212, lrate=0.005, error=3.241
    >epoch=213, lrate=0.005, error=3.234
    >epoch=214, lrate=0.005, error=3.228
    >epoch=215, lrate=0.005, error=3.221
    >epoch=216, lrate=0.005, error=3.214
    >epoch=217, lrate=0.005, error=3.208
    >epoch=218, lrate=0.005, error=3.201
    >epoch=219, lrate=0.005, error=3.195
    >epoch=220, lrate=0.005, error=3.188
    >epoch=221, lrate=0.005, error=3.181
    >epoch=222, lrate=0.005, error=3.175
    >epoch=223, lrate=0.005, error=3.168
    >epoch=224, lrate=0.005, error=3.162
    >epoch=225, lrate=0.005, error=3.155
    >epoch=226, lrate=0.005, error=3.149
    >epoch=227, lrate=0.005, error=3.142
    >epoch=228, lrate=0.005, error=3.136
    >epoch=229, lrate=0.005, error=3.129
    >epoch=230, lrate=0.005, error=3.123
    >epoch=231, lrate=0.005, error=3.116
    >epoch=232, lrate=0.005, error=3.110
    >epoch=233, lrate=0.005, error=3.104
    >epoch=234, lrate=0.005, error=3.097
    >epoch=235, lrate=0.005, error=3.091
    >epoch=236, lrate=0.005, error=3.084
    >epoch=237, lrate=0.005, error=3.078
    >epoch=238, lrate=0.005, error=3.072
    >epoch=239, lrate=0.005, error=3.065
    >epoch=240, lrate=0.005, error=3.059
    >epoch=241, lrate=0.005, error=3.053
    >epoch=242, lrate=0.005, error=3.046
    >epoch=243, lrate=0.005, error=3.040
    >epoch=244, lrate=0.005, error=3.034
    >epoch=245, lrate=0.005, error=3.028
    >epoch=246, lrate=0.005, error=3.021
    >epoch=247, lrate=0.005, error=3.015
    >epoch=248, lrate=0.005, error=3.009
    >epoch=249, lrate=0.005, error=3.003
    >epoch=250, lrate=0.005, error=2.997
    >epoch=251, lrate=0.005, error=2.990
    >epoch=252, lrate=0.005, error=2.984
    >epoch=253, lrate=0.005, error=2.978
    >epoch=254, lrate=0.005, error=2.972
    >epoch=255, lrate=0.005, error=2.966
    >epoch=256, lrate=0.005, error=2.960
    >epoch=257, lrate=0.005, error=2.954
    >epoch=258, lrate=0.005, error=2.947
    >epoch=259, lrate=0.005, error=2.941
    >epoch=260, lrate=0.005, error=2.935
    >epoch=261, lrate=0.005, error=2.929
    >epoch=262, lrate=0.005, error=2.923
    >epoch=263, lrate=0.005, error=2.917
    >epoch=264, lrate=0.005, error=2.911
    >epoch=265, lrate=0.005, error=2.905
    >epoch=266, lrate=0.005, error=2.899
    >epoch=267, lrate=0.005, error=2.893
    >epoch=268, lrate=0.005, error=2.887
    >epoch=269, lrate=0.005, error=2.881
    >epoch=270, lrate=0.005, error=2.875
    >epoch=271, lrate=0.005, error=2.869
    >epoch=272, lrate=0.005, error=2.863
    >epoch=273, lrate=0.005, error=2.858
    >epoch=274, lrate=0.005, error=2.852
    >epoch=275, lrate=0.005, error=2.846
    >epoch=276, lrate=0.005, error=2.840
    >epoch=277, lrate=0.005, error=2.834
    >epoch=278, lrate=0.005, error=2.828
    >epoch=279, lrate=0.005, error=2.822
    >epoch=280, lrate=0.005, error=2.817
    >epoch=281, lrate=0.005, error=2.811
    >epoch=282, lrate=0.005, error=2.805
    >epoch=283, lrate=0.005, error=2.799
    >epoch=284, lrate=0.005, error=2.793
    >epoch=285, lrate=0.005, error=2.788
    >epoch=286, lrate=0.005, error=2.782
    >epoch=287, lrate=0.005, error=2.776
    >epoch=288, lrate=0.005, error=2.770
    >epoch=289, lrate=0.005, error=2.765
    >epoch=290, lrate=0.005, error=2.759
    >epoch=291, lrate=0.005, error=2.753
    >epoch=292, lrate=0.005, error=2.748
    >epoch=293, lrate=0.005, error=2.742
    >epoch=294, lrate=0.005, error=2.736
    >epoch=295, lrate=0.005, error=2.731
    >epoch=296, lrate=0.005, error=2.725
    >epoch=297, lrate=0.005, error=2.719
    >epoch=298, lrate=0.005, error=2.714
    >epoch=299, lrate=0.005, error=2.708
    >epoch=300, lrate=0.005, error=2.703
    >epoch=301, lrate=0.005, error=2.697
    >epoch=302, lrate=0.005, error=2.692
    >epoch=303, lrate=0.005, error=2.686
    >epoch=304, lrate=0.005, error=2.680
    >epoch=305, lrate=0.005, error=2.675
    >epoch=306, lrate=0.005, error=2.669
    >epoch=307, lrate=0.005, error=2.664
    >epoch=308, lrate=0.005, error=2.658
    >epoch=309, lrate=0.005, error=2.653
    >epoch=310, lrate=0.005, error=2.647
    >epoch=311, lrate=0.005, error=2.642
    >epoch=312, lrate=0.005, error=2.637
    >epoch=313, lrate=0.005, error=2.631
    >epoch=314, lrate=0.005, error=2.626
    >epoch=315, lrate=0.005, error=2.620
    >epoch=316, lrate=0.005, error=2.615
    >epoch=317, lrate=0.005, error=2.609
    >epoch=318, lrate=0.005, error=2.604
    >epoch=319, lrate=0.005, error=2.599
    >epoch=320, lrate=0.005, error=2.593
    >epoch=321, lrate=0.005, error=2.588
    >epoch=322, lrate=0.005, error=2.583
    >epoch=323, lrate=0.005, error=2.577
    >epoch=324, lrate=0.005, error=2.572
    >epoch=325, lrate=0.005, error=2.567
    >epoch=326, lrate=0.005, error=2.561
    >epoch=327, lrate=0.005, error=2.556
    >epoch=328, lrate=0.005, error=2.551
    >epoch=329, lrate=0.005, error=2.546
    >epoch=330, lrate=0.005, error=2.540
    >epoch=331, lrate=0.005, error=2.535
    >epoch=332, lrate=0.005, error=2.530
    >epoch=333, lrate=0.005, error=2.525
    >epoch=334, lrate=0.005, error=2.519
    >epoch=335, lrate=0.005, error=2.514
    >epoch=336, lrate=0.005, error=2.509
    >epoch=337, lrate=0.005, error=2.504
    >epoch=338, lrate=0.005, error=2.499
    >epoch=339, lrate=0.005, error=2.494
    >epoch=340, lrate=0.005, error=2.488
    >epoch=341, lrate=0.005, error=2.483
    >epoch=342, lrate=0.005, error=2.478
    >epoch=343, lrate=0.005, error=2.473
    >epoch=344, lrate=0.005, error=2.468
    >epoch=345, lrate=0.005, error=2.463
    >epoch=346, lrate=0.005, error=2.458
    >epoch=347, lrate=0.005, error=2.453
    >epoch=348, lrate=0.005, error=2.448
    >epoch=349, lrate=0.005, error=2.443
    >epoch=350, lrate=0.005, error=2.438
    >epoch=351, lrate=0.005, error=2.433
    >epoch=352, lrate=0.005, error=2.428
    >epoch=353, lrate=0.005, error=2.423
    >epoch=354, lrate=0.005, error=2.418
    >epoch=355, lrate=0.005, error=2.413
    >epoch=356, lrate=0.005, error=2.408
    >epoch=357, lrate=0.005, error=2.403
    >epoch=358, lrate=0.005, error=2.398
    >epoch=359, lrate=0.005, error=2.393
    >epoch=360, lrate=0.005, error=2.388
    >epoch=361, lrate=0.005, error=2.383
    >epoch=362, lrate=0.005, error=2.378
    >epoch=363, lrate=0.005, error=2.373
    >epoch=364, lrate=0.005, error=2.368
    >epoch=365, lrate=0.005, error=2.363
    >epoch=366, lrate=0.005, error=2.358
    >epoch=367, lrate=0.005, error=2.354
    >epoch=368, lrate=0.005, error=2.349
    >epoch=369, lrate=0.005, error=2.344
    >epoch=370, lrate=0.005, error=2.339
    >epoch=371, lrate=0.005, error=2.334
    >epoch=372, lrate=0.005, error=2.329
    >epoch=373, lrate=0.005, error=2.325
    >epoch=374, lrate=0.005, error=2.320
    >epoch=375, lrate=0.005, error=2.315
    >epoch=376, lrate=0.005, error=2.310
    >epoch=377, lrate=0.005, error=2.305
    >epoch=378, lrate=0.005, error=2.301
    >epoch=379, lrate=0.005, error=2.296
    >epoch=380, lrate=0.005, error=2.291
    >epoch=381, lrate=0.005, error=2.286
    >epoch=382, lrate=0.005, error=2.282
    >epoch=383, lrate=0.005, error=2.277
    >epoch=384, lrate=0.005, error=2.272
    >epoch=385, lrate=0.005, error=2.268
    >epoch=386, lrate=0.005, error=2.263
    >epoch=387, lrate=0.005, error=2.258
    >epoch=388, lrate=0.005, error=2.254
    >epoch=389, lrate=0.005, error=2.249
    >epoch=390, lrate=0.005, error=2.244
    >epoch=391, lrate=0.005, error=2.240
    >epoch=392, lrate=0.005, error=2.235
    >epoch=393, lrate=0.005, error=2.231
    >epoch=394, lrate=0.005, error=2.226
    >epoch=395, lrate=0.005, error=2.221
    >epoch=396, lrate=0.005, error=2.217
    >epoch=397, lrate=0.005, error=2.212
    >epoch=398, lrate=0.005, error=2.208
    >epoch=399, lrate=0.005, error=2.203
    >epoch=400, lrate=0.005, error=2.199
    >epoch=401, lrate=0.005, error=2.194
    >epoch=402, lrate=0.005, error=2.189
    >epoch=403, lrate=0.005, error=2.185
    >epoch=404, lrate=0.005, error=2.180
    >epoch=405, lrate=0.005, error=2.176
    >epoch=406, lrate=0.005, error=2.171
    >epoch=407, lrate=0.005, error=2.167
    >epoch=408, lrate=0.005, error=2.163
    >epoch=409, lrate=0.005, error=2.158
    >epoch=410, lrate=0.005, error=2.154
    >epoch=411, lrate=0.005, error=2.149
    >epoch=412, lrate=0.005, error=2.145
    >epoch=413, lrate=0.005, error=2.140
    >epoch=414, lrate=0.005, error=2.136
    >epoch=415, lrate=0.005, error=2.131
    >epoch=416, lrate=0.005, error=2.127
    >epoch=417, lrate=0.005, error=2.123
    >epoch=418, lrate=0.005, error=2.118
    >epoch=419, lrate=0.005, error=2.114
    >epoch=420, lrate=0.005, error=2.110
    >epoch=421, lrate=0.005, error=2.105
    >epoch=422, lrate=0.005, error=2.101
    >epoch=423, lrate=0.005, error=2.097
    >epoch=424, lrate=0.005, error=2.092
    >epoch=425, lrate=0.005, error=2.088
    >epoch=426, lrate=0.005, error=2.084
    >epoch=427, lrate=0.005, error=2.079
    >epoch=428, lrate=0.005, error=2.075
    >epoch=429, lrate=0.005, error=2.071
    >epoch=430, lrate=0.005, error=2.067
    >epoch=431, lrate=0.005, error=2.062
    >epoch=432, lrate=0.005, error=2.058
    >epoch=433, lrate=0.005, error=2.054
    >epoch=434, lrate=0.005, error=2.050
    >epoch=435, lrate=0.005, error=2.045
    >epoch=436, lrate=0.005, error=2.041
    >epoch=437, lrate=0.005, error=2.037
    >epoch=438, lrate=0.005, error=2.033
    >epoch=439, lrate=0.005, error=2.028
    >epoch=440, lrate=0.005, error=2.024
    >epoch=441, lrate=0.005, error=2.020
    >epoch=442, lrate=0.005, error=2.016
    >epoch=443, lrate=0.005, error=2.012
    >epoch=444, lrate=0.005, error=2.008
    >epoch=445, lrate=0.005, error=2.003
    >epoch=446, lrate=0.005, error=1.999
    >epoch=447, lrate=0.005, error=1.995
    >epoch=448, lrate=0.005, error=1.991
    >epoch=449, lrate=0.005, error=1.987
    >epoch=450, lrate=0.005, error=1.983
    >epoch=451, lrate=0.005, error=1.979
    >epoch=452, lrate=0.005, error=1.975
    >epoch=453, lrate=0.005, error=1.971
    >epoch=454, lrate=0.005, error=1.967
    >epoch=455, lrate=0.005, error=1.963
    >epoch=456, lrate=0.005, error=1.959
    >epoch=457, lrate=0.005, error=1.954
    >epoch=458, lrate=0.005, error=1.950
    >epoch=459, lrate=0.005, error=1.946
    >epoch=460, lrate=0.005, error=1.942
    >epoch=461, lrate=0.005, error=1.938
    >epoch=462, lrate=0.005, error=1.934
    >epoch=463, lrate=0.005, error=1.930
    >epoch=464, lrate=0.005, error=1.926
    >epoch=465, lrate=0.005, error=1.922
    >epoch=466, lrate=0.005, error=1.918
    >epoch=467, lrate=0.005, error=1.915
    >epoch=468, lrate=0.005, error=1.911
    >epoch=469, lrate=0.005, error=1.907
    >epoch=470, lrate=0.005, error=1.903
    >epoch=471, lrate=0.005, error=1.899
    >epoch=472, lrate=0.005, error=1.895
    >epoch=473, lrate=0.005, error=1.891
    >epoch=474, lrate=0.005, error=1.887
    >epoch=475, lrate=0.005, error=1.883
    >epoch=476, lrate=0.005, error=1.879
    >epoch=477, lrate=0.005, error=1.875
    >epoch=478, lrate=0.005, error=1.872
    >epoch=479, lrate=0.005, error=1.868
    >epoch=480, lrate=0.005, error=1.864
    >epoch=481, lrate=0.005, error=1.860
    >epoch=482, lrate=0.005, error=1.856
    >epoch=483, lrate=0.005, error=1.852
    >epoch=484, lrate=0.005, error=1.849
    >epoch=485, lrate=0.005, error=1.845
    >epoch=486, lrate=0.005, error=1.841
    >epoch=487, lrate=0.005, error=1.837
    >epoch=488, lrate=0.005, error=1.833
    >epoch=489, lrate=0.005, error=1.830
    >epoch=490, lrate=0.005, error=1.826
    >epoch=491, lrate=0.005, error=1.822
    >epoch=492, lrate=0.005, error=1.818
    >epoch=493, lrate=0.005, error=1.814
    >epoch=494, lrate=0.005, error=1.811
    >epoch=495, lrate=0.005, error=1.807
    >epoch=496, lrate=0.005, error=1.803
    >epoch=497, lrate=0.005, error=1.800
    >epoch=498, lrate=0.005, error=1.796
    >epoch=499, lrate=0.005, error=1.792
    >epoch=500, lrate=0.005, error=1.788
    >epoch=501, lrate=0.005, error=1.785
    >epoch=502, lrate=0.005, error=1.781
    >epoch=503, lrate=0.005, error=1.777
    >epoch=504, lrate=0.005, error=1.774
    >epoch=505, lrate=0.005, error=1.770
    >epoch=506, lrate=0.005, error=1.766
    >epoch=507, lrate=0.005, error=1.763
    >epoch=508, lrate=0.005, error=1.759
    >epoch=509, lrate=0.005, error=1.756
    >epoch=510, lrate=0.005, error=1.752
    >epoch=511, lrate=0.005, error=1.748
    >epoch=512, lrate=0.005, error=1.745
    >epoch=513, lrate=0.005, error=1.741
    >epoch=514, lrate=0.005, error=1.738
    >epoch=515, lrate=0.005, error=1.734
    >epoch=516, lrate=0.005, error=1.730
    >epoch=517, lrate=0.005, error=1.727
    >epoch=518, lrate=0.005, error=1.723
    >epoch=519, lrate=0.005, error=1.720
    >epoch=520, lrate=0.005, error=1.716
    >epoch=521, lrate=0.005, error=1.713
    >epoch=522, lrate=0.005, error=1.709
    >epoch=523, lrate=0.005, error=1.706
    >epoch=524, lrate=0.005, error=1.702
    >epoch=525, lrate=0.005, error=1.698
    >epoch=526, lrate=0.005, error=1.695
    >epoch=527, lrate=0.005, error=1.691
    >epoch=528, lrate=0.005, error=1.688
    >epoch=529, lrate=0.005, error=1.685
    >epoch=530, lrate=0.005, error=1.681
    >epoch=531, lrate=0.005, error=1.678
    >epoch=532, lrate=0.005, error=1.674
    >epoch=533, lrate=0.005, error=1.671
    >epoch=534, lrate=0.005, error=1.667
    >epoch=535, lrate=0.005, error=1.664
    >epoch=536, lrate=0.005, error=1.660
    >epoch=537, lrate=0.005, error=1.657
    >epoch=538, lrate=0.005, error=1.654
    >epoch=539, lrate=0.005, error=1.650
    >epoch=540, lrate=0.005, error=1.647
    >epoch=541, lrate=0.005, error=1.643
    >epoch=542, lrate=0.005, error=1.640
    >epoch=543, lrate=0.005, error=1.637
    >epoch=544, lrate=0.005, error=1.633
    >epoch=545, lrate=0.005, error=1.630
    >epoch=546, lrate=0.005, error=1.626
    >epoch=547, lrate=0.005, error=1.623
    >epoch=548, lrate=0.005, error=1.620
    >epoch=549, lrate=0.005, error=1.616
    >epoch=550, lrate=0.005, error=1.613
    >epoch=551, lrate=0.005, error=1.610
    >epoch=552, lrate=0.005, error=1.606
    >epoch=553, lrate=0.005, error=1.603
    >epoch=554, lrate=0.005, error=1.600
    >epoch=555, lrate=0.005, error=1.596
    >epoch=556, lrate=0.005, error=1.593
    >epoch=557, lrate=0.005, error=1.590
    >epoch=558, lrate=0.005, error=1.587
    >epoch=559, lrate=0.005, error=1.583
    >epoch=560, lrate=0.005, error=1.580
    >epoch=561, lrate=0.005, error=1.577
    >epoch=562, lrate=0.005, error=1.574
    >epoch=563, lrate=0.005, error=1.570
    >epoch=564, lrate=0.005, error=1.567
    >epoch=565, lrate=0.005, error=1.564
    >epoch=566, lrate=0.005, error=1.561
    >epoch=567, lrate=0.005, error=1.557
    >epoch=568, lrate=0.005, error=1.554
    >epoch=569, lrate=0.005, error=1.551
    >epoch=570, lrate=0.005, error=1.548
    >epoch=571, lrate=0.005, error=1.545
    >epoch=572, lrate=0.005, error=1.541
    >epoch=573, lrate=0.005, error=1.538
    >epoch=574, lrate=0.005, error=1.535
    >epoch=575, lrate=0.005, error=1.532
    >epoch=576, lrate=0.005, error=1.529
    >epoch=577, lrate=0.005, error=1.526
    >epoch=578, lrate=0.005, error=1.522
    >epoch=579, lrate=0.005, error=1.519
    >epoch=580, lrate=0.005, error=1.516
    >epoch=581, lrate=0.005, error=1.513
    >epoch=582, lrate=0.005, error=1.510
    >epoch=583, lrate=0.005, error=1.507
    >epoch=584, lrate=0.005, error=1.504
    >epoch=585, lrate=0.005, error=1.501
    >epoch=586, lrate=0.005, error=1.498
    >epoch=587, lrate=0.005, error=1.494
    >epoch=588, lrate=0.005, error=1.491
    >epoch=589, lrate=0.005, error=1.488
    >epoch=590, lrate=0.005, error=1.485
    >epoch=591, lrate=0.005, error=1.482
    >epoch=592, lrate=0.005, error=1.479
    >epoch=593, lrate=0.005, error=1.476
    >epoch=594, lrate=0.005, error=1.473
    >epoch=595, lrate=0.005, error=1.470
    >epoch=596, lrate=0.005, error=1.467
    >epoch=597, lrate=0.005, error=1.464
    >epoch=598, lrate=0.005, error=1.461
    >epoch=599, lrate=0.005, error=1.458
    >epoch=600, lrate=0.005, error=1.455
    >epoch=601, lrate=0.005, error=1.452
    >epoch=602, lrate=0.005, error=1.449
    >epoch=603, lrate=0.005, error=1.446
    >epoch=604, lrate=0.005, error=1.443
    >epoch=605, lrate=0.005, error=1.440
    >epoch=606, lrate=0.005, error=1.437
    >epoch=607, lrate=0.005, error=1.434
    >epoch=608, lrate=0.005, error=1.431
    >epoch=609, lrate=0.005, error=1.428
    >epoch=610, lrate=0.005, error=1.425
    >epoch=611, lrate=0.005, error=1.422
    >epoch=612, lrate=0.005, error=1.419
    >epoch=613, lrate=0.005, error=1.416
    >epoch=614, lrate=0.005, error=1.413
    >epoch=615, lrate=0.005, error=1.411
    >epoch=616, lrate=0.005, error=1.408
    >epoch=617, lrate=0.005, error=1.405
    >epoch=618, lrate=0.005, error=1.402
    >epoch=619, lrate=0.005, error=1.399
    >epoch=620, lrate=0.005, error=1.396
    >epoch=621, lrate=0.005, error=1.393
    >epoch=622, lrate=0.005, error=1.390
    >epoch=623, lrate=0.005, error=1.387
    >epoch=624, lrate=0.005, error=1.385
    >epoch=625, lrate=0.005, error=1.382
    >epoch=626, lrate=0.005, error=1.379
    >epoch=627, lrate=0.005, error=1.376
    >epoch=628, lrate=0.005, error=1.373
    >epoch=629, lrate=0.005, error=1.370
    >epoch=630, lrate=0.005, error=1.367
    >epoch=631, lrate=0.005, error=1.365
    >epoch=632, lrate=0.005, error=1.362
    >epoch=633, lrate=0.005, error=1.359
    >epoch=634, lrate=0.005, error=1.356
    >epoch=635, lrate=0.005, error=1.353
    >epoch=636, lrate=0.005, error=1.351
    >epoch=637, lrate=0.005, error=1.348
    >epoch=638, lrate=0.005, error=1.345
    >epoch=639, lrate=0.005, error=1.342
    >epoch=640, lrate=0.005, error=1.340
    >epoch=641, lrate=0.005, error=1.337
    >epoch=642, lrate=0.005, error=1.334
    >epoch=643, lrate=0.005, error=1.331
    >epoch=644, lrate=0.005, error=1.329
    >epoch=645, lrate=0.005, error=1.326
    >epoch=646, lrate=0.005, error=1.323
    >epoch=647, lrate=0.005, error=1.320
    >epoch=648, lrate=0.005, error=1.318
    >epoch=649, lrate=0.005, error=1.315
    >epoch=650, lrate=0.005, error=1.312
    >epoch=651, lrate=0.005, error=1.309
    >epoch=652, lrate=0.005, error=1.307
    >epoch=653, lrate=0.005, error=1.304
    >epoch=654, lrate=0.005, error=1.301
    >epoch=655, lrate=0.005, error=1.299
    >epoch=656, lrate=0.005, error=1.296
    >epoch=657, lrate=0.005, error=1.293
    >epoch=658, lrate=0.005, error=1.291
    >epoch=659, lrate=0.005, error=1.288
    >epoch=660, lrate=0.005, error=1.285
    >epoch=661, lrate=0.005, error=1.283
    >epoch=662, lrate=0.005, error=1.280
    >epoch=663, lrate=0.005, error=1.277
    >epoch=664, lrate=0.005, error=1.275
    >epoch=665, lrate=0.005, error=1.272
    >epoch=666, lrate=0.005, error=1.270
    >epoch=667, lrate=0.005, error=1.267
    >epoch=668, lrate=0.005, error=1.264
    >epoch=669, lrate=0.005, error=1.262
    >epoch=670, lrate=0.005, error=1.259
    >epoch=671, lrate=0.005, error=1.257
    >epoch=672, lrate=0.005, error=1.254
    >epoch=673, lrate=0.005, error=1.251
    >epoch=674, lrate=0.005, error=1.249
    >epoch=675, lrate=0.005, error=1.246
    >epoch=676, lrate=0.005, error=1.244
    >epoch=677, lrate=0.005, error=1.241
    >epoch=678, lrate=0.005, error=1.238
    >epoch=679, lrate=0.005, error=1.236
    >epoch=680, lrate=0.005, error=1.233
    >epoch=681, lrate=0.005, error=1.231
    >epoch=682, lrate=0.005, error=1.228
    >epoch=683, lrate=0.005, error=1.226
    >epoch=684, lrate=0.005, error=1.223
    >epoch=685, lrate=0.005, error=1.221
    >epoch=686, lrate=0.005, error=1.218
    >epoch=687, lrate=0.005, error=1.216
    >epoch=688, lrate=0.005, error=1.213
    >epoch=689, lrate=0.005, error=1.211
    >epoch=690, lrate=0.005, error=1.208
    >epoch=691, lrate=0.005, error=1.206
    >epoch=692, lrate=0.005, error=1.203
    >epoch=693, lrate=0.005, error=1.201
    >epoch=694, lrate=0.005, error=1.198
    >epoch=695, lrate=0.005, error=1.196
    >epoch=696, lrate=0.005, error=1.193
    >epoch=697, lrate=0.005, error=1.191
    >epoch=698, lrate=0.005, error=1.188
    >epoch=699, lrate=0.005, error=1.186
    >epoch=700, lrate=0.005, error=1.183
    >epoch=701, lrate=0.005, error=1.181
    >epoch=702, lrate=0.005, error=1.179
    >epoch=703, lrate=0.005, error=1.176
    >epoch=704, lrate=0.005, error=1.174
    >epoch=705, lrate=0.005, error=1.171
    >epoch=706, lrate=0.005, error=1.169
    >epoch=707, lrate=0.005, error=1.167
    >epoch=708, lrate=0.005, error=1.164
    >epoch=709, lrate=0.005, error=1.162
    >epoch=710, lrate=0.005, error=1.159
    >epoch=711, lrate=0.005, error=1.157
    >epoch=712, lrate=0.005, error=1.155
    >epoch=713, lrate=0.005, error=1.152
    >epoch=714, lrate=0.005, error=1.150
    >epoch=715, lrate=0.005, error=1.147
    >epoch=716, lrate=0.005, error=1.145
    >epoch=717, lrate=0.005, error=1.143
    >epoch=718, lrate=0.005, error=1.140
    >epoch=719, lrate=0.005, error=1.138
    >epoch=720, lrate=0.005, error=1.136
    >epoch=721, lrate=0.005, error=1.133
    >epoch=722, lrate=0.005, error=1.131
    >epoch=723, lrate=0.005, error=1.129
    >epoch=724, lrate=0.005, error=1.126
    >epoch=725, lrate=0.005, error=1.124
    >epoch=726, lrate=0.005, error=1.122
    >epoch=727, lrate=0.005, error=1.119
    >epoch=728, lrate=0.005, error=1.117
    >epoch=729, lrate=0.005, error=1.115
    >epoch=730, lrate=0.005, error=1.112
    >epoch=731, lrate=0.005, error=1.110
    >epoch=732, lrate=0.005, error=1.108
    >epoch=733, lrate=0.005, error=1.106
    >epoch=734, lrate=0.005, error=1.103
    >epoch=735, lrate=0.005, error=1.101
    >epoch=736, lrate=0.005, error=1.099
    >epoch=737, lrate=0.005, error=1.096
    >epoch=738, lrate=0.005, error=1.094
    >epoch=739, lrate=0.005, error=1.092
    >epoch=740, lrate=0.005, error=1.090
    >epoch=741, lrate=0.005, error=1.087
    >epoch=742, lrate=0.005, error=1.085
    >epoch=743, lrate=0.005, error=1.083
    >epoch=744, lrate=0.005, error=1.081
    >epoch=745, lrate=0.005, error=1.079
    >epoch=746, lrate=0.005, error=1.076
    >epoch=747, lrate=0.005, error=1.074
    >epoch=748, lrate=0.005, error=1.072
    >epoch=749, lrate=0.005, error=1.070
    >epoch=750, lrate=0.005, error=1.067
    >epoch=751, lrate=0.005, error=1.065
    >epoch=752, lrate=0.005, error=1.063
    >epoch=753, lrate=0.005, error=1.061
    >epoch=754, lrate=0.005, error=1.059
    >epoch=755, lrate=0.005, error=1.056
    >epoch=756, lrate=0.005, error=1.054
    >epoch=757, lrate=0.005, error=1.052
    >epoch=758, lrate=0.005, error=1.050
    >epoch=759, lrate=0.005, error=1.048
    >epoch=760, lrate=0.005, error=1.046
    >epoch=761, lrate=0.005, error=1.043
    >epoch=762, lrate=0.005, error=1.041
    >epoch=763, lrate=0.005, error=1.039
    >epoch=764, lrate=0.005, error=1.037
    >epoch=765, lrate=0.005, error=1.035
    >epoch=766, lrate=0.005, error=1.033
    >epoch=767, lrate=0.005, error=1.031
    >epoch=768, lrate=0.005, error=1.028
    >epoch=769, lrate=0.005, error=1.026
    >epoch=770, lrate=0.005, error=1.024
    >epoch=771, lrate=0.005, error=1.022
    >epoch=772, lrate=0.005, error=1.020
    >epoch=773, lrate=0.005, error=1.018
    >epoch=774, lrate=0.005, error=1.016
    >epoch=775, lrate=0.005, error=1.014
    >epoch=776, lrate=0.005, error=1.012
    >epoch=777, lrate=0.005, error=1.010
    >epoch=778, lrate=0.005, error=1.007
    >epoch=779, lrate=0.005, error=1.005
    >epoch=780, lrate=0.005, error=1.003
    >epoch=781, lrate=0.005, error=1.001
    >epoch=782, lrate=0.005, error=0.999
    >epoch=783, lrate=0.005, error=0.997
    >epoch=784, lrate=0.005, error=0.995
    >epoch=785, lrate=0.005, error=0.993
    >epoch=786, lrate=0.005, error=0.991
    >epoch=787, lrate=0.005, error=0.989
    >epoch=788, lrate=0.005, error=0.987
    >epoch=789, lrate=0.005, error=0.985
    >epoch=790, lrate=0.005, error=0.983
    >epoch=791, lrate=0.005, error=0.981
    >epoch=792, lrate=0.005, error=0.979
    >epoch=793, lrate=0.005, error=0.977
    >epoch=794, lrate=0.005, error=0.975
    >epoch=795, lrate=0.005, error=0.973
    >epoch=796, lrate=0.005, error=0.971
    >epoch=797, lrate=0.005, error=0.969
    >epoch=798, lrate=0.005, error=0.967
    >epoch=799, lrate=0.005, error=0.965
    >epoch=800, lrate=0.005, error=0.963
    >epoch=801, lrate=0.005, error=0.961
    >epoch=802, lrate=0.005, error=0.959
    >epoch=803, lrate=0.005, error=0.957
    >epoch=804, lrate=0.005, error=0.955
    >epoch=805, lrate=0.005, error=0.953
    >epoch=806, lrate=0.005, error=0.951
    >epoch=807, lrate=0.005, error=0.949
    >epoch=808, lrate=0.005, error=0.947
    >epoch=809, lrate=0.005, error=0.945
    >epoch=810, lrate=0.005, error=0.943
    >epoch=811, lrate=0.005, error=0.941
    >epoch=812, lrate=0.005, error=0.939
    >epoch=813, lrate=0.005, error=0.937
    >epoch=814, lrate=0.005, error=0.935
    >epoch=815, lrate=0.005, error=0.933
    >epoch=816, lrate=0.005, error=0.931
    >epoch=817, lrate=0.005, error=0.930
    >epoch=818, lrate=0.005, error=0.928
    >epoch=819, lrate=0.005, error=0.926
    >epoch=820, lrate=0.005, error=0.924
    >epoch=821, lrate=0.005, error=0.922
    >epoch=822, lrate=0.005, error=0.920
    >epoch=823, lrate=0.005, error=0.918
    >epoch=824, lrate=0.005, error=0.916
    >epoch=825, lrate=0.005, error=0.914
    >epoch=826, lrate=0.005, error=0.912
    >epoch=827, lrate=0.005, error=0.911
    >epoch=828, lrate=0.005, error=0.909
    >epoch=829, lrate=0.005, error=0.907
    >epoch=830, lrate=0.005, error=0.905
    >epoch=831, lrate=0.005, error=0.903
    >epoch=832, lrate=0.005, error=0.901
    >epoch=833, lrate=0.005, error=0.899
    >epoch=834, lrate=0.005, error=0.897
    >epoch=835, lrate=0.005, error=0.896
    >epoch=836, lrate=0.005, error=0.894
    >epoch=837, lrate=0.005, error=0.892
    >epoch=838, lrate=0.005, error=0.890
    >epoch=839, lrate=0.005, error=0.888
    >epoch=840, lrate=0.005, error=0.886
    >epoch=841, lrate=0.005, error=0.885
    >epoch=842, lrate=0.005, error=0.883
    >epoch=843, lrate=0.005, error=0.881
    >epoch=844, lrate=0.005, error=0.879
    >epoch=845, lrate=0.005, error=0.877
    >epoch=846, lrate=0.005, error=0.876
    >epoch=847, lrate=0.005, error=0.874
    >epoch=848, lrate=0.005, error=0.872
    >epoch=849, lrate=0.005, error=0.870
    >epoch=850, lrate=0.005, error=0.868
    >epoch=851, lrate=0.005, error=0.867
    >epoch=852, lrate=0.005, error=0.865
    >epoch=853, lrate=0.005, error=0.863
    >epoch=854, lrate=0.005, error=0.861
    >epoch=855, lrate=0.005, error=0.859
    >epoch=856, lrate=0.005, error=0.858
    >epoch=857, lrate=0.005, error=0.856
    >epoch=858, lrate=0.005, error=0.854
    >epoch=859, lrate=0.005, error=0.852
    >epoch=860, lrate=0.005, error=0.851
    >epoch=861, lrate=0.005, error=0.849
    >epoch=862, lrate=0.005, error=0.847
    >epoch=863, lrate=0.005, error=0.845
    >epoch=864, lrate=0.005, error=0.844
    >epoch=865, lrate=0.005, error=0.842
    >epoch=866, lrate=0.005, error=0.840
    >epoch=867, lrate=0.005, error=0.838
    >epoch=868, lrate=0.005, error=0.837
    >epoch=869, lrate=0.005, error=0.835
    >epoch=870, lrate=0.005, error=0.833
    >epoch=871, lrate=0.005, error=0.831
    >epoch=872, lrate=0.005, error=0.830
    >epoch=873, lrate=0.005, error=0.828
    >epoch=874, lrate=0.005, error=0.826
    >epoch=875, lrate=0.005, error=0.825
    >epoch=876, lrate=0.005, error=0.823
    >epoch=877, lrate=0.005, error=0.821
    >epoch=878, lrate=0.005, error=0.820
    >epoch=879, lrate=0.005, error=0.818
    >epoch=880, lrate=0.005, error=0.816
    >epoch=881, lrate=0.005, error=0.814
    >epoch=882, lrate=0.005, error=0.813
    >epoch=883, lrate=0.005, error=0.811
    >epoch=884, lrate=0.005, error=0.809
    >epoch=885, lrate=0.005, error=0.808
    >epoch=886, lrate=0.005, error=0.806
    >epoch=887, lrate=0.005, error=0.804
    >epoch=888, lrate=0.005, error=0.803
    >epoch=889, lrate=0.005, error=0.801
    >epoch=890, lrate=0.005, error=0.800
    >epoch=891, lrate=0.005, error=0.798
    >epoch=892, lrate=0.005, error=0.796
    >epoch=893, lrate=0.005, error=0.795
    >epoch=894, lrate=0.005, error=0.793
    >epoch=895, lrate=0.005, error=0.791
    >epoch=896, lrate=0.005, error=0.790
    >epoch=897, lrate=0.005, error=0.788
    >epoch=898, lrate=0.005, error=0.786
    >epoch=899, lrate=0.005, error=0.785
    >epoch=900, lrate=0.005, error=0.783
    >epoch=901, lrate=0.005, error=0.782
    >epoch=902, lrate=0.005, error=0.780
    >epoch=903, lrate=0.005, error=0.778
    >epoch=904, lrate=0.005, error=0.777
    >epoch=905, lrate=0.005, error=0.775
    >epoch=906, lrate=0.005, error=0.774
    >epoch=907, lrate=0.005, error=0.772
    >epoch=908, lrate=0.005, error=0.770
    >epoch=909, lrate=0.005, error=0.769
    >epoch=910, lrate=0.005, error=0.767
    >epoch=911, lrate=0.005, error=0.766
    >epoch=912, lrate=0.005, error=0.764
    >epoch=913, lrate=0.005, error=0.762
    >epoch=914, lrate=0.005, error=0.761
    >epoch=915, lrate=0.005, error=0.759
    >epoch=916, lrate=0.005, error=0.758
    >epoch=917, lrate=0.005, error=0.756
    >epoch=918, lrate=0.005, error=0.755
    >epoch=919, lrate=0.005, error=0.753
    >epoch=920, lrate=0.005, error=0.751
    >epoch=921, lrate=0.005, error=0.750
    >epoch=922, lrate=0.005, error=0.748
    >epoch=923, lrate=0.005, error=0.747
    >epoch=924, lrate=0.005, error=0.745
    >epoch=925, lrate=0.005, error=0.744
    >epoch=926, lrate=0.005, error=0.742
    >epoch=927, lrate=0.005, error=0.741
    >epoch=928, lrate=0.005, error=0.739
    >epoch=929, lrate=0.005, error=0.738
    >epoch=930, lrate=0.005, error=0.736
    >epoch=931, lrate=0.005, error=0.735
    >epoch=932, lrate=0.005, error=0.733
    >epoch=933, lrate=0.005, error=0.732
    >epoch=934, lrate=0.005, error=0.730
    >epoch=935, lrate=0.005, error=0.729
    >epoch=936, lrate=0.005, error=0.727
    >epoch=937, lrate=0.005, error=0.726
    >epoch=938, lrate=0.005, error=0.724
    >epoch=939, lrate=0.005, error=0.723
    >epoch=940, lrate=0.005, error=0.721
    >epoch=941, lrate=0.005, error=0.720
    >epoch=942, lrate=0.005, error=0.718
    >epoch=943, lrate=0.005, error=0.717
    >epoch=944, lrate=0.005, error=0.715
    >epoch=945, lrate=0.005, error=0.714
    >epoch=946, lrate=0.005, error=0.712
    >epoch=947, lrate=0.005, error=0.711
    >epoch=948, lrate=0.005, error=0.709
    >epoch=949, lrate=0.005, error=0.708
    >epoch=950, lrate=0.005, error=0.706
    >epoch=951, lrate=0.005, error=0.705
    >epoch=952, lrate=0.005, error=0.703
    >epoch=953, lrate=0.005, error=0.702
    >epoch=954, lrate=0.005, error=0.701
    >epoch=955, lrate=0.005, error=0.699
    >epoch=956, lrate=0.005, error=0.698
    >epoch=957, lrate=0.005, error=0.696
    >epoch=958, lrate=0.005, error=0.695
    >epoch=959, lrate=0.005, error=0.693
    >epoch=960, lrate=0.005, error=0.692
    >epoch=961, lrate=0.005, error=0.691
    >epoch=962, lrate=0.005, error=0.689
    >epoch=963, lrate=0.005, error=0.688
    >epoch=964, lrate=0.005, error=0.686
    >epoch=965, lrate=0.005, error=0.685
    >epoch=966, lrate=0.005, error=0.683
    >epoch=967, lrate=0.005, error=0.682
    >epoch=968, lrate=0.005, error=0.681
    >epoch=969, lrate=0.005, error=0.679
    >epoch=970, lrate=0.005, error=0.678
    >epoch=971, lrate=0.005, error=0.676
    >epoch=972, lrate=0.005, error=0.675
    >epoch=973, lrate=0.005, error=0.674
    >epoch=974, lrate=0.005, error=0.672
    >epoch=975, lrate=0.005, error=0.671
    >epoch=976, lrate=0.005, error=0.669
    >epoch=977, lrate=0.005, error=0.668
    >epoch=978, lrate=0.005, error=0.667
    >epoch=979, lrate=0.005, error=0.665
    >epoch=980, lrate=0.005, error=0.664
    >epoch=981, lrate=0.005, error=0.663
    >epoch=982, lrate=0.005, error=0.661
    >epoch=983, lrate=0.005, error=0.660
    >epoch=984, lrate=0.005, error=0.658
    >epoch=985, lrate=0.005, error=0.657
    >epoch=986, lrate=0.005, error=0.656
    >epoch=987, lrate=0.005, error=0.654
    >epoch=988, lrate=0.005, error=0.653
    >epoch=989, lrate=0.005, error=0.652
    >epoch=990, lrate=0.005, error=0.650
    >epoch=991, lrate=0.005, error=0.649
    >epoch=992, lrate=0.005, error=0.648
    >epoch=993, lrate=0.005, error=0.646
    >epoch=994, lrate=0.005, error=0.645
    >epoch=995, lrate=0.005, error=0.644
    >epoch=996, lrate=0.005, error=0.642
    >epoch=997, lrate=0.005, error=0.641
    >epoch=998, lrate=0.005, error=0.640
    >epoch=999, lrate=0.005, error=0.638
    >epoch=1000, lrate=0.005, error=0.637
    >epoch=1001, lrate=0.005, error=0.636
    >epoch=1002, lrate=0.005, error=0.634
    >epoch=1003, lrate=0.005, error=0.633
    >epoch=1004, lrate=0.005, error=0.632
    >epoch=1005, lrate=0.005, error=0.631
    >epoch=1006, lrate=0.005, error=0.629
    >epoch=1007, lrate=0.005, error=0.628
    >epoch=1008, lrate=0.005, error=0.627
    >epoch=1009, lrate=0.005, error=0.625
    >epoch=1010, lrate=0.005, error=0.624
    >epoch=1011, lrate=0.005, error=0.623
    >epoch=1012, lrate=0.005, error=0.621
    >epoch=1013, lrate=0.005, error=0.620
    >epoch=1014, lrate=0.005, error=0.619
    >epoch=1015, lrate=0.005, error=0.618
    >epoch=1016, lrate=0.005, error=0.616
    >epoch=1017, lrate=0.005, error=0.615
    >epoch=1018, lrate=0.005, error=0.614
    >epoch=1019, lrate=0.005, error=0.613
    >epoch=1020, lrate=0.005, error=0.611
    >epoch=1021, lrate=0.005, error=0.610
    >epoch=1022, lrate=0.005, error=0.609
    >epoch=1023, lrate=0.005, error=0.608
    >epoch=1024, lrate=0.005, error=0.606
    >epoch=1025, lrate=0.005, error=0.605
    >epoch=1026, lrate=0.005, error=0.604
    >epoch=1027, lrate=0.005, error=0.603
    >epoch=1028, lrate=0.005, error=0.601
    >epoch=1029, lrate=0.005, error=0.600
    >epoch=1030, lrate=0.005, error=0.599
    >epoch=1031, lrate=0.005, error=0.598
    >epoch=1032, lrate=0.005, error=0.596
    >epoch=1033, lrate=0.005, error=0.595
    >epoch=1034, lrate=0.005, error=0.594
    >epoch=1035, lrate=0.005, error=0.593
    >epoch=1036, lrate=0.005, error=0.591
    >epoch=1037, lrate=0.005, error=0.590
    >epoch=1038, lrate=0.005, error=0.589
    >epoch=1039, lrate=0.005, error=0.588
    >epoch=1040, lrate=0.005, error=0.587
    >epoch=1041, lrate=0.005, error=0.585
    >epoch=1042, lrate=0.005, error=0.584
    >epoch=1043, lrate=0.005, error=0.583
    >epoch=1044, lrate=0.005, error=0.582
    >epoch=1045, lrate=0.005, error=0.581
    >epoch=1046, lrate=0.005, error=0.579
    >epoch=1047, lrate=0.005, error=0.578
    >epoch=1048, lrate=0.005, error=0.577
    >epoch=1049, lrate=0.005, error=0.576
    >epoch=1050, lrate=0.005, error=0.575
    >epoch=1051, lrate=0.005, error=0.573
    >epoch=1052, lrate=0.005, error=0.572
    >epoch=1053, lrate=0.005, error=0.571
    >epoch=1054, lrate=0.005, error=0.570
    >epoch=1055, lrate=0.005, error=0.569
    >epoch=1056, lrate=0.005, error=0.568
    >epoch=1057, lrate=0.005, error=0.566
    >epoch=1058, lrate=0.005, error=0.565
    >epoch=1059, lrate=0.005, error=0.564
    >epoch=1060, lrate=0.005, error=0.563
    >epoch=1061, lrate=0.005, error=0.562
    >epoch=1062, lrate=0.005, error=0.561
    >epoch=1063, lrate=0.005, error=0.559
    >epoch=1064, lrate=0.005, error=0.558
    >epoch=1065, lrate=0.005, error=0.557
    >epoch=1066, lrate=0.005, error=0.556
    >epoch=1067, lrate=0.005, error=0.555
    >epoch=1068, lrate=0.005, error=0.554
    >epoch=1069, lrate=0.005, error=0.553
    >epoch=1070, lrate=0.005, error=0.551
    >epoch=1071, lrate=0.005, error=0.550
    >epoch=1072, lrate=0.005, error=0.549
    >epoch=1073, lrate=0.005, error=0.548
    >epoch=1074, lrate=0.005, error=0.547
    >epoch=1075, lrate=0.005, error=0.546
    >epoch=1076, lrate=0.005, error=0.545
    >epoch=1077, lrate=0.005, error=0.543
    >epoch=1078, lrate=0.005, error=0.542
    >epoch=1079, lrate=0.005, error=0.541
    >epoch=1080, lrate=0.005, error=0.540
    >epoch=1081, lrate=0.005, error=0.539
    >epoch=1082, lrate=0.005, error=0.538
    >epoch=1083, lrate=0.005, error=0.537
    >epoch=1084, lrate=0.005, error=0.536
    >epoch=1085, lrate=0.005, error=0.535
    >epoch=1086, lrate=0.005, error=0.533
    >epoch=1087, lrate=0.005, error=0.532
    >epoch=1088, lrate=0.005, error=0.531
    >epoch=1089, lrate=0.005, error=0.530
    >epoch=1090, lrate=0.005, error=0.529
    >epoch=1091, lrate=0.005, error=0.528
    >epoch=1092, lrate=0.005, error=0.527
    >epoch=1093, lrate=0.005, error=0.526
    >epoch=1094, lrate=0.005, error=0.525
    >epoch=1095, lrate=0.005, error=0.524
    >epoch=1096, lrate=0.005, error=0.523
    >epoch=1097, lrate=0.005, error=0.521
    >epoch=1098, lrate=0.005, error=0.520
    >epoch=1099, lrate=0.005, error=0.519
    >epoch=1100, lrate=0.005, error=0.518
    >epoch=1101, lrate=0.005, error=0.517
    >epoch=1102, lrate=0.005, error=0.516
    >epoch=1103, lrate=0.005, error=0.515
    >epoch=1104, lrate=0.005, error=0.514
    >epoch=1105, lrate=0.005, error=0.513
    >epoch=1106, lrate=0.005, error=0.512
    >epoch=1107, lrate=0.005, error=0.511
    >epoch=1108, lrate=0.005, error=0.510
    >epoch=1109, lrate=0.005, error=0.509
    >epoch=1110, lrate=0.005, error=0.508
    >epoch=1111, lrate=0.005, error=0.507
    >epoch=1112, lrate=0.005, error=0.506
    >epoch=1113, lrate=0.005, error=0.505
    >epoch=1114, lrate=0.005, error=0.503
    >epoch=1115, lrate=0.005, error=0.502
    >epoch=1116, lrate=0.005, error=0.501
    >epoch=1117, lrate=0.005, error=0.500
    >epoch=1118, lrate=0.005, error=0.499
    >epoch=1119, lrate=0.005, error=0.498
    >epoch=1120, lrate=0.005, error=0.497
    >epoch=1121, lrate=0.005, error=0.496
    >epoch=1122, lrate=0.005, error=0.495
    >epoch=1123, lrate=0.005, error=0.494
    >epoch=1124, lrate=0.005, error=0.493
    >epoch=1125, lrate=0.005, error=0.492
    >epoch=1126, lrate=0.005, error=0.491
    >epoch=1127, lrate=0.005, error=0.490
    >epoch=1128, lrate=0.005, error=0.489
    >epoch=1129, lrate=0.005, error=0.488
    >epoch=1130, lrate=0.005, error=0.487
    >epoch=1131, lrate=0.005, error=0.486
    >epoch=1132, lrate=0.005, error=0.485
    >epoch=1133, lrate=0.005, error=0.484
    >epoch=1134, lrate=0.005, error=0.483
    >epoch=1135, lrate=0.005, error=0.482
    >epoch=1136, lrate=0.005, error=0.481
    >epoch=1137, lrate=0.005, error=0.480
    >epoch=1138, lrate=0.005, error=0.479
    >epoch=1139, lrate=0.005, error=0.478
    >epoch=1140, lrate=0.005, error=0.477
    >epoch=1141, lrate=0.005, error=0.476
    >epoch=1142, lrate=0.005, error=0.475
    >epoch=1143, lrate=0.005, error=0.474
    >epoch=1144, lrate=0.005, error=0.473
    >epoch=1145, lrate=0.005, error=0.472
    >epoch=1146, lrate=0.005, error=0.471
    >epoch=1147, lrate=0.005, error=0.470
    >epoch=1148, lrate=0.005, error=0.469
    >epoch=1149, lrate=0.005, error=0.468
    >epoch=1150, lrate=0.005, error=0.467
    >epoch=1151, lrate=0.005, error=0.466
    >epoch=1152, lrate=0.005, error=0.466
    >epoch=1153, lrate=0.005, error=0.465
    >epoch=1154, lrate=0.005, error=0.464
    >epoch=1155, lrate=0.005, error=0.463
    >epoch=1156, lrate=0.005, error=0.462
    >epoch=1157, lrate=0.005, error=0.461
    >epoch=1158, lrate=0.005, error=0.460
    >epoch=1159, lrate=0.005, error=0.459
    >epoch=1160, lrate=0.005, error=0.458
    >epoch=1161, lrate=0.005, error=0.457
    >epoch=1162, lrate=0.005, error=0.456
    >epoch=1163, lrate=0.005, error=0.455
    >epoch=1164, lrate=0.005, error=0.454
    >epoch=1165, lrate=0.005, error=0.453
    >epoch=1166, lrate=0.005, error=0.452
    >epoch=1167, lrate=0.005, error=0.451
    >epoch=1168, lrate=0.005, error=0.450
    >epoch=1169, lrate=0.005, error=0.449
    >epoch=1170, lrate=0.005, error=0.449
    >epoch=1171, lrate=0.005, error=0.448
    >epoch=1172, lrate=0.005, error=0.447
    >epoch=1173, lrate=0.005, error=0.446
    >epoch=1174, lrate=0.005, error=0.445
    >epoch=1175, lrate=0.005, error=0.444
    >epoch=1176, lrate=0.005, error=0.443
    >epoch=1177, lrate=0.005, error=0.442
    >epoch=1178, lrate=0.005, error=0.441
    >epoch=1179, lrate=0.005, error=0.440
    >epoch=1180, lrate=0.005, error=0.439
    >epoch=1181, lrate=0.005, error=0.438
    >epoch=1182, lrate=0.005, error=0.438
    >epoch=1183, lrate=0.005, error=0.437
    >epoch=1184, lrate=0.005, error=0.436
    >epoch=1185, lrate=0.005, error=0.435
    >epoch=1186, lrate=0.005, error=0.434
    >epoch=1187, lrate=0.005, error=0.433
    >epoch=1188, lrate=0.005, error=0.432
    >epoch=1189, lrate=0.005, error=0.431
    >epoch=1190, lrate=0.005, error=0.430
    >epoch=1191, lrate=0.005, error=0.429
    >epoch=1192, lrate=0.005, error=0.429
    >epoch=1193, lrate=0.005, error=0.428
    >epoch=1194, lrate=0.005, error=0.427
    >epoch=1195, lrate=0.005, error=0.426
    >epoch=1196, lrate=0.005, error=0.425
    >epoch=1197, lrate=0.005, error=0.424
    >epoch=1198, lrate=0.005, error=0.423
    >epoch=1199, lrate=0.005, error=0.422
    >epoch=1200, lrate=0.005, error=0.422
    >epoch=1201, lrate=0.005, error=0.421
    >epoch=1202, lrate=0.005, error=0.420
    >epoch=1203, lrate=0.005, error=0.419
    >epoch=1204, lrate=0.005, error=0.418
    >epoch=1205, lrate=0.005, error=0.417
    >epoch=1206, lrate=0.005, error=0.416
    >epoch=1207, lrate=0.005, error=0.416
    >epoch=1208, lrate=0.005, error=0.415
    >epoch=1209, lrate=0.005, error=0.414
    >epoch=1210, lrate=0.005, error=0.413
    >epoch=1211, lrate=0.005, error=0.412
    >epoch=1212, lrate=0.005, error=0.411
    >epoch=1213, lrate=0.005, error=0.410
    >epoch=1214, lrate=0.005, error=0.410
    >epoch=1215, lrate=0.005, error=0.409
    >epoch=1216, lrate=0.005, error=0.408
    >epoch=1217, lrate=0.005, error=0.407
    >epoch=1218, lrate=0.005, error=0.406
    >epoch=1219, lrate=0.005, error=0.405
    >epoch=1220, lrate=0.005, error=0.405
    >epoch=1221, lrate=0.005, error=0.404
    >epoch=1222, lrate=0.005, error=0.403
    >epoch=1223, lrate=0.005, error=0.402
    >epoch=1224, lrate=0.005, error=0.401
    >epoch=1225, lrate=0.005, error=0.400
    >epoch=1226, lrate=0.005, error=0.400
    >epoch=1227, lrate=0.005, error=0.399
    >epoch=1228, lrate=0.005, error=0.398
    >epoch=1229, lrate=0.005, error=0.397
    >epoch=1230, lrate=0.005, error=0.396
    >epoch=1231, lrate=0.005, error=0.395
    >epoch=1232, lrate=0.005, error=0.395
    >epoch=1233, lrate=0.005, error=0.394
    >epoch=1234, lrate=0.005, error=0.393
    >epoch=1235, lrate=0.005, error=0.392
    >epoch=1236, lrate=0.005, error=0.391
    >epoch=1237, lrate=0.005, error=0.391
    >epoch=1238, lrate=0.005, error=0.390
    >epoch=1239, lrate=0.005, error=0.389
    >epoch=1240, lrate=0.005, error=0.388
    >epoch=1241, lrate=0.005, error=0.387
    >epoch=1242, lrate=0.005, error=0.387
    >epoch=1243, lrate=0.005, error=0.386
    >epoch=1244, lrate=0.005, error=0.385
    >epoch=1245, lrate=0.005, error=0.384
    >epoch=1246, lrate=0.005, error=0.383
    >epoch=1247, lrate=0.005, error=0.383
    >epoch=1248, lrate=0.005, error=0.382
    >epoch=1249, lrate=0.005, error=0.381
    >epoch=1250, lrate=0.005, error=0.380
    >epoch=1251, lrate=0.005, error=0.379
    >epoch=1252, lrate=0.005, error=0.379
    >epoch=1253, lrate=0.005, error=0.378
    >epoch=1254, lrate=0.005, error=0.377
    >epoch=1255, lrate=0.005, error=0.376
    >epoch=1256, lrate=0.005, error=0.376
    >epoch=1257, lrate=0.005, error=0.375
    >epoch=1258, lrate=0.005, error=0.374
    >epoch=1259, lrate=0.005, error=0.373
    >epoch=1260, lrate=0.005, error=0.372
    >epoch=1261, lrate=0.005, error=0.372
    >epoch=1262, lrate=0.005, error=0.371
    >epoch=1263, lrate=0.005, error=0.370
    >epoch=1264, lrate=0.005, error=0.369
    >epoch=1265, lrate=0.005, error=0.369
    >epoch=1266, lrate=0.005, error=0.368
    >epoch=1267, lrate=0.005, error=0.367
    >epoch=1268, lrate=0.005, error=0.366
    >epoch=1269, lrate=0.005, error=0.366
    >epoch=1270, lrate=0.005, error=0.365
    >epoch=1271, lrate=0.005, error=0.364
    >epoch=1272, lrate=0.005, error=0.363
    >epoch=1273, lrate=0.005, error=0.363
    >epoch=1274, lrate=0.005, error=0.362
    >epoch=1275, lrate=0.005, error=0.361
    >epoch=1276, lrate=0.005, error=0.360
    >epoch=1277, lrate=0.005, error=0.360
    >epoch=1278, lrate=0.005, error=0.359
    >epoch=1279, lrate=0.005, error=0.358
    >epoch=1280, lrate=0.005, error=0.357
    >epoch=1281, lrate=0.005, error=0.357
    >epoch=1282, lrate=0.005, error=0.356
    >epoch=1283, lrate=0.005, error=0.355
    >epoch=1284, lrate=0.005, error=0.354
    >epoch=1285, lrate=0.005, error=0.354
    >epoch=1286, lrate=0.005, error=0.353
    >epoch=1287, lrate=0.005, error=0.352
    >epoch=1288, lrate=0.005, error=0.352
    >epoch=1289, lrate=0.005, error=0.351
    >epoch=1290, lrate=0.005, error=0.350
    >epoch=1291, lrate=0.005, error=0.349
    >epoch=1292, lrate=0.005, error=0.349
    >epoch=1293, lrate=0.005, error=0.348
    >epoch=1294, lrate=0.005, error=0.347
    >epoch=1295, lrate=0.005, error=0.347
    >epoch=1296, lrate=0.005, error=0.346
    >epoch=1297, lrate=0.005, error=0.345
    >epoch=1298, lrate=0.005, error=0.344
    >epoch=1299, lrate=0.005, error=0.344
    >epoch=1300, lrate=0.005, error=0.343
    >epoch=1301, lrate=0.005, error=0.342
    >epoch=1302, lrate=0.005, error=0.342
    >epoch=1303, lrate=0.005, error=0.341
    >epoch=1304, lrate=0.005, error=0.340
    >epoch=1305, lrate=0.005, error=0.339
    >epoch=1306, lrate=0.005, error=0.339
    >epoch=1307, lrate=0.005, error=0.338
    >epoch=1308, lrate=0.005, error=0.337
    >epoch=1309, lrate=0.005, error=0.337
    >epoch=1310, lrate=0.005, error=0.336
    >epoch=1311, lrate=0.005, error=0.335
    >epoch=1312, lrate=0.005, error=0.335
    >epoch=1313, lrate=0.005, error=0.334
    >epoch=1314, lrate=0.005, error=0.333
    >epoch=1315, lrate=0.005, error=0.332
    >epoch=1316, lrate=0.005, error=0.332
    >epoch=1317, lrate=0.005, error=0.331
    >epoch=1318, lrate=0.005, error=0.330
    >epoch=1319, lrate=0.005, error=0.330
    >epoch=1320, lrate=0.005, error=0.329
    >epoch=1321, lrate=0.005, error=0.328
    >epoch=1322, lrate=0.005, error=0.328
    >epoch=1323, lrate=0.005, error=0.327
    >epoch=1324, lrate=0.005, error=0.326
    >epoch=1325, lrate=0.005, error=0.326
    >epoch=1326, lrate=0.005, error=0.325
    >epoch=1327, lrate=0.005, error=0.324
    >epoch=1328, lrate=0.005, error=0.324
    >epoch=1329, lrate=0.005, error=0.323
    >epoch=1330, lrate=0.005, error=0.322
    >epoch=1331, lrate=0.005, error=0.322
    >epoch=1332, lrate=0.005, error=0.321
    >epoch=1333, lrate=0.005, error=0.320
    >epoch=1334, lrate=0.005, error=0.320
    >epoch=1335, lrate=0.005, error=0.319
    >epoch=1336, lrate=0.005, error=0.318
    >epoch=1337, lrate=0.005, error=0.318
    >epoch=1338, lrate=0.005, error=0.317
    >epoch=1339, lrate=0.005, error=0.316
    >epoch=1340, lrate=0.005, error=0.316
    >epoch=1341, lrate=0.005, error=0.315
    >epoch=1342, lrate=0.005, error=0.314
    >epoch=1343, lrate=0.005, error=0.314
    >epoch=1344, lrate=0.005, error=0.313
    >epoch=1345, lrate=0.005, error=0.313
    >epoch=1346, lrate=0.005, error=0.312
    >epoch=1347, lrate=0.005, error=0.311
    >epoch=1348, lrate=0.005, error=0.311
    >epoch=1349, lrate=0.005, error=0.310
    >epoch=1350, lrate=0.005, error=0.309
    >epoch=1351, lrate=0.005, error=0.309
    >epoch=1352, lrate=0.005, error=0.308
    >epoch=1353, lrate=0.005, error=0.307
    >epoch=1354, lrate=0.005, error=0.307
    >epoch=1355, lrate=0.005, error=0.306
    >epoch=1356, lrate=0.005, error=0.306
    >epoch=1357, lrate=0.005, error=0.305
    >epoch=1358, lrate=0.005, error=0.304
    >epoch=1359, lrate=0.005, error=0.304
    >epoch=1360, lrate=0.005, error=0.303
    >epoch=1361, lrate=0.005, error=0.302
    >epoch=1362, lrate=0.005, error=0.302
    >epoch=1363, lrate=0.005, error=0.301
    >epoch=1364, lrate=0.005, error=0.301
    >epoch=1365, lrate=0.005, error=0.300
    >epoch=1366, lrate=0.005, error=0.299
    >epoch=1367, lrate=0.005, error=0.299
    >epoch=1368, lrate=0.005, error=0.298
    >epoch=1369, lrate=0.005, error=0.297
    >epoch=1370, lrate=0.005, error=0.297
    >epoch=1371, lrate=0.005, error=0.296
    >epoch=1372, lrate=0.005, error=0.296
    >epoch=1373, lrate=0.005, error=0.295
    >epoch=1374, lrate=0.005, error=0.294
    >epoch=1375, lrate=0.005, error=0.294
    >epoch=1376, lrate=0.005, error=0.293
    >epoch=1377, lrate=0.005, error=0.293
    >epoch=1378, lrate=0.005, error=0.292
    >epoch=1379, lrate=0.005, error=0.291
    >epoch=1380, lrate=0.005, error=0.291
    >epoch=1381, lrate=0.005, error=0.290
    >epoch=1382, lrate=0.005, error=0.290
    >epoch=1383, lrate=0.005, error=0.289
    >epoch=1384, lrate=0.005, error=0.288
    >epoch=1385, lrate=0.005, error=0.288
    >epoch=1386, lrate=0.005, error=0.287
    >epoch=1387, lrate=0.005, error=0.287
    >epoch=1388, lrate=0.005, error=0.286
    >epoch=1389, lrate=0.005, error=0.285
    >epoch=1390, lrate=0.005, error=0.285
    >epoch=1391, lrate=0.005, error=0.284
    >epoch=1392, lrate=0.005, error=0.284
    >epoch=1393, lrate=0.005, error=0.283
    >epoch=1394, lrate=0.005, error=0.282
    >epoch=1395, lrate=0.005, error=0.282
    >epoch=1396, lrate=0.005, error=0.281
    >epoch=1397, lrate=0.005, error=0.281
    >epoch=1398, lrate=0.005, error=0.280
    >epoch=1399, lrate=0.005, error=0.280
    >epoch=1400, lrate=0.005, error=0.279
    >epoch=1401, lrate=0.005, error=0.278
    >epoch=1402, lrate=0.005, error=0.278
    >epoch=1403, lrate=0.005, error=0.277
    >epoch=1404, lrate=0.005, error=0.277
    >epoch=1405, lrate=0.005, error=0.276
    >epoch=1406, lrate=0.005, error=0.276
    >epoch=1407, lrate=0.005, error=0.275
    >epoch=1408, lrate=0.005, error=0.274
    >epoch=1409, lrate=0.005, error=0.274
    >epoch=1410, lrate=0.005, error=0.273
    >epoch=1411, lrate=0.005, error=0.273
    >epoch=1412, lrate=0.005, error=0.272
    >epoch=1413, lrate=0.005, error=0.272
    >epoch=1414, lrate=0.005, error=0.271
    >epoch=1415, lrate=0.005, error=0.270
    >epoch=1416, lrate=0.005, error=0.270
    >epoch=1417, lrate=0.005, error=0.269
    >epoch=1418, lrate=0.005, error=0.269
    >epoch=1419, lrate=0.005, error=0.268
    >epoch=1420, lrate=0.005, error=0.268
    >epoch=1421, lrate=0.005, error=0.267
    >epoch=1422, lrate=0.005, error=0.267
    >epoch=1423, lrate=0.005, error=0.266
    >epoch=1424, lrate=0.005, error=0.265
    >epoch=1425, lrate=0.005, error=0.265
    >epoch=1426, lrate=0.005, error=0.264
    >epoch=1427, lrate=0.005, error=0.264
    >epoch=1428, lrate=0.005, error=0.263
    >epoch=1429, lrate=0.005, error=0.263
    >epoch=1430, lrate=0.005, error=0.262
    >epoch=1431, lrate=0.005, error=0.262
    >epoch=1432, lrate=0.005, error=0.261
    >epoch=1433, lrate=0.005, error=0.261
    >epoch=1434, lrate=0.005, error=0.260
    >epoch=1435, lrate=0.005, error=0.260
    >epoch=1436, lrate=0.005, error=0.259
    >epoch=1437, lrate=0.005, error=0.258
    >epoch=1438, lrate=0.005, error=0.258
    >epoch=1439, lrate=0.005, error=0.257
    >epoch=1440, lrate=0.005, error=0.257
    >epoch=1441, lrate=0.005, error=0.256
    >epoch=1442, lrate=0.005, error=0.256
    >epoch=1443, lrate=0.005, error=0.255
    >epoch=1444, lrate=0.005, error=0.255
    >epoch=1445, lrate=0.005, error=0.254
    >epoch=1446, lrate=0.005, error=0.254
    >epoch=1447, lrate=0.005, error=0.253
    >epoch=1448, lrate=0.005, error=0.253
    >epoch=1449, lrate=0.005, error=0.252
    >epoch=1450, lrate=0.005, error=0.252
    >epoch=1451, lrate=0.005, error=0.251
    >epoch=1452, lrate=0.005, error=0.251
    >epoch=1453, lrate=0.005, error=0.250
    >epoch=1454, lrate=0.005, error=0.250
    >epoch=1455, lrate=0.005, error=0.249
    >epoch=1456, lrate=0.005, error=0.249
    >epoch=1457, lrate=0.005, error=0.248
    >epoch=1458, lrate=0.005, error=0.248
    >epoch=1459, lrate=0.005, error=0.247
    >epoch=1460, lrate=0.005, error=0.246
    >epoch=1461, lrate=0.005, error=0.246
    >epoch=1462, lrate=0.005, error=0.245
    >epoch=1463, lrate=0.005, error=0.245
    >epoch=1464, lrate=0.005, error=0.244
    >epoch=1465, lrate=0.005, error=0.244
    >epoch=1466, lrate=0.005, error=0.243
    >epoch=1467, lrate=0.005, error=0.243
    >epoch=1468, lrate=0.005, error=0.242
    >epoch=1469, lrate=0.005, error=0.242
    >epoch=1470, lrate=0.005, error=0.241
    >epoch=1471, lrate=0.005, error=0.241
    >epoch=1472, lrate=0.005, error=0.240
    >epoch=1473, lrate=0.005, error=0.240
    >epoch=1474, lrate=0.005, error=0.239
    >epoch=1475, lrate=0.005, error=0.239
    >epoch=1476, lrate=0.005, error=0.238
    >epoch=1477, lrate=0.005, error=0.238
    >epoch=1478, lrate=0.005, error=0.237
    >epoch=1479, lrate=0.005, error=0.237
    >epoch=1480, lrate=0.005, error=0.237
    >epoch=1481, lrate=0.005, error=0.236
    >epoch=1482, lrate=0.005, error=0.236
    >epoch=1483, lrate=0.005, error=0.235
    >epoch=1484, lrate=0.005, error=0.235
    >epoch=1485, lrate=0.005, error=0.234
    >epoch=1486, lrate=0.005, error=0.234
    >epoch=1487, lrate=0.005, error=0.233
    >epoch=1488, lrate=0.005, error=0.233
    >epoch=1489, lrate=0.005, error=0.232
    >epoch=1490, lrate=0.005, error=0.232
    >epoch=1491, lrate=0.005, error=0.231
    >epoch=1492, lrate=0.005, error=0.231
    >epoch=1493, lrate=0.005, error=0.230
    >epoch=1494, lrate=0.005, error=0.230
    >epoch=1495, lrate=0.005, error=0.229
    >epoch=1496, lrate=0.005, error=0.229
    >epoch=1497, lrate=0.005, error=0.228
    >epoch=1498, lrate=0.005, error=0.228
    >epoch=1499, lrate=0.005, error=0.227
    >epoch=1500, lrate=0.005, error=0.227
    >epoch=1501, lrate=0.005, error=0.226
    >epoch=1502, lrate=0.005, error=0.226
    >epoch=1503, lrate=0.005, error=0.226
    >epoch=1504, lrate=0.005, error=0.225
    >epoch=1505, lrate=0.005, error=0.225
    >epoch=1506, lrate=0.005, error=0.224
    >epoch=1507, lrate=0.005, error=0.224
    >epoch=1508, lrate=0.005, error=0.223
    >epoch=1509, lrate=0.005, error=0.223
    >epoch=1510, lrate=0.005, error=0.222
    >epoch=1511, lrate=0.005, error=0.222
    >epoch=1512, lrate=0.005, error=0.221
    >epoch=1513, lrate=0.005, error=0.221
    >epoch=1514, lrate=0.005, error=0.220
    >epoch=1515, lrate=0.005, error=0.220
    >epoch=1516, lrate=0.005, error=0.220
    >epoch=1517, lrate=0.005, error=0.219
    >epoch=1518, lrate=0.005, error=0.219
    >epoch=1519, lrate=0.005, error=0.218
    >epoch=1520, lrate=0.005, error=0.218
    >epoch=1521, lrate=0.005, error=0.217
    >epoch=1522, lrate=0.005, error=0.217
    >epoch=1523, lrate=0.005, error=0.216
    >epoch=1524, lrate=0.005, error=0.216
    >epoch=1525, lrate=0.005, error=0.216
    >epoch=1526, lrate=0.005, error=0.215
    >epoch=1527, lrate=0.005, error=0.215
    >epoch=1528, lrate=0.005, error=0.214
    >epoch=1529, lrate=0.005, error=0.214
    >epoch=1530, lrate=0.005, error=0.213
    >epoch=1531, lrate=0.005, error=0.213
    >epoch=1532, lrate=0.005, error=0.212
    >epoch=1533, lrate=0.005, error=0.212
    >epoch=1534, lrate=0.005, error=0.212
    >epoch=1535, lrate=0.005, error=0.211
    >epoch=1536, lrate=0.005, error=0.211
    >epoch=1537, lrate=0.005, error=0.210
    >epoch=1538, lrate=0.005, error=0.210
    >epoch=1539, lrate=0.005, error=0.209
    >epoch=1540, lrate=0.005, error=0.209
    >epoch=1541, lrate=0.005, error=0.209
    >epoch=1542, lrate=0.005, error=0.208
    >epoch=1543, lrate=0.005, error=0.208
    >epoch=1544, lrate=0.005, error=0.207
    >epoch=1545, lrate=0.005, error=0.207
    >epoch=1546, lrate=0.005, error=0.206
    >epoch=1547, lrate=0.005, error=0.206
    >epoch=1548, lrate=0.005, error=0.206
    >epoch=1549, lrate=0.005, error=0.205
    >epoch=1550, lrate=0.005, error=0.205
    >epoch=1551, lrate=0.005, error=0.204
    >epoch=1552, lrate=0.005, error=0.204
    >epoch=1553, lrate=0.005, error=0.203
    >epoch=1554, lrate=0.005, error=0.203
    >epoch=1555, lrate=0.005, error=0.203
    >epoch=1556, lrate=0.005, error=0.202
    >epoch=1557, lrate=0.005, error=0.202
    >epoch=1558, lrate=0.005, error=0.201
    >epoch=1559, lrate=0.005, error=0.201
    >epoch=1560, lrate=0.005, error=0.201
    >epoch=1561, lrate=0.005, error=0.200
    >epoch=1562, lrate=0.005, error=0.200
    >epoch=1563, lrate=0.005, error=0.199
    >epoch=1564, lrate=0.005, error=0.199
    >epoch=1565, lrate=0.005, error=0.198
    >epoch=1566, lrate=0.005, error=0.198
    >epoch=1567, lrate=0.005, error=0.198
    >epoch=1568, lrate=0.005, error=0.197
    >epoch=1569, lrate=0.005, error=0.197
    >epoch=1570, lrate=0.005, error=0.196
    >epoch=1571, lrate=0.005, error=0.196
    >epoch=1572, lrate=0.005, error=0.196
    >epoch=1573, lrate=0.005, error=0.195
    >epoch=1574, lrate=0.005, error=0.195
    >epoch=1575, lrate=0.005, error=0.194
    >epoch=1576, lrate=0.005, error=0.194
    >epoch=1577, lrate=0.005, error=0.194
    >epoch=1578, lrate=0.005, error=0.193
    >epoch=1579, lrate=0.005, error=0.193
    >epoch=1580, lrate=0.005, error=0.192
    >epoch=1581, lrate=0.005, error=0.192
    >epoch=1582, lrate=0.005, error=0.192
    >epoch=1583, lrate=0.005, error=0.191
    >epoch=1584, lrate=0.005, error=0.191
    >epoch=1585, lrate=0.005, error=0.190
    >epoch=1586, lrate=0.005, error=0.190
    >epoch=1587, lrate=0.005, error=0.190
    >epoch=1588, lrate=0.005, error=0.189
    >epoch=1589, lrate=0.005, error=0.189
    >epoch=1590, lrate=0.005, error=0.188
    >epoch=1591, lrate=0.005, error=0.188
    >epoch=1592, lrate=0.005, error=0.188
    >epoch=1593, lrate=0.005, error=0.187
    >epoch=1594, lrate=0.005, error=0.187
    >epoch=1595, lrate=0.005, error=0.187
    >epoch=1596, lrate=0.005, error=0.186
    >epoch=1597, lrate=0.005, error=0.186
    >epoch=1598, lrate=0.005, error=0.185
    >epoch=1599, lrate=0.005, error=0.185
    >epoch=1600, lrate=0.005, error=0.185
    >epoch=1601, lrate=0.005, error=0.184
    >epoch=1602, lrate=0.005, error=0.184
    >epoch=1603, lrate=0.005, error=0.183
    >epoch=1604, lrate=0.005, error=0.183
    >epoch=1605, lrate=0.005, error=0.183
    >epoch=1606, lrate=0.005, error=0.182
    >epoch=1607, lrate=0.005, error=0.182
    >epoch=1608, lrate=0.005, error=0.182
    >epoch=1609, lrate=0.005, error=0.181
    >epoch=1610, lrate=0.005, error=0.181
    >epoch=1611, lrate=0.005, error=0.180
    >epoch=1612, lrate=0.005, error=0.180
    >epoch=1613, lrate=0.005, error=0.180
    >epoch=1614, lrate=0.005, error=0.179
    >epoch=1615, lrate=0.005, error=0.179
    >epoch=1616, lrate=0.005, error=0.179
    >epoch=1617, lrate=0.005, error=0.178
    >epoch=1618, lrate=0.005, error=0.178
    >epoch=1619, lrate=0.005, error=0.178
    >epoch=1620, lrate=0.005, error=0.177
    >epoch=1621, lrate=0.005, error=0.177
    >epoch=1622, lrate=0.005, error=0.176
    >epoch=1623, lrate=0.005, error=0.176
    >epoch=1624, lrate=0.005, error=0.176
    >epoch=1625, lrate=0.005, error=0.175
    >epoch=1626, lrate=0.005, error=0.175
    >epoch=1627, lrate=0.005, error=0.175
    >epoch=1628, lrate=0.005, error=0.174
    >epoch=1629, lrate=0.005, error=0.174
    >epoch=1630, lrate=0.005, error=0.174
    >epoch=1631, lrate=0.005, error=0.173
    >epoch=1632, lrate=0.005, error=0.173
    >epoch=1633, lrate=0.005, error=0.172
    >epoch=1634, lrate=0.005, error=0.172
    >epoch=1635, lrate=0.005, error=0.172
    >epoch=1636, lrate=0.005, error=0.171
    >epoch=1637, lrate=0.005, error=0.171
    >epoch=1638, lrate=0.005, error=0.171
    >epoch=1639, lrate=0.005, error=0.170
    >epoch=1640, lrate=0.005, error=0.170
    >epoch=1641, lrate=0.005, error=0.170
    >epoch=1642, lrate=0.005, error=0.169
    >epoch=1643, lrate=0.005, error=0.169
    >epoch=1644, lrate=0.005, error=0.169
    >epoch=1645, lrate=0.005, error=0.168
    >epoch=1646, lrate=0.005, error=0.168
    >epoch=1647, lrate=0.005, error=0.168
    >epoch=1648, lrate=0.005, error=0.167
    >epoch=1649, lrate=0.005, error=0.167
    >epoch=1650, lrate=0.005, error=0.167
    >epoch=1651, lrate=0.005, error=0.166
    >epoch=1652, lrate=0.005, error=0.166
    >epoch=1653, lrate=0.005, error=0.165
    >epoch=1654, lrate=0.005, error=0.165
    >epoch=1655, lrate=0.005, error=0.165
    >epoch=1656, lrate=0.005, error=0.164
    >epoch=1657, lrate=0.005, error=0.164
    >epoch=1658, lrate=0.005, error=0.164
    >epoch=1659, lrate=0.005, error=0.163
    >epoch=1660, lrate=0.005, error=0.163
    >epoch=1661, lrate=0.005, error=0.163
    >epoch=1662, lrate=0.005, error=0.162
    >epoch=1663, lrate=0.005, error=0.162
    >epoch=1664, lrate=0.005, error=0.162
    >epoch=1665, lrate=0.005, error=0.161
    >epoch=1666, lrate=0.005, error=0.161
    >epoch=1667, lrate=0.005, error=0.161
    >epoch=1668, lrate=0.005, error=0.160
    >epoch=1669, lrate=0.005, error=0.160
    >epoch=1670, lrate=0.005, error=0.160
    >epoch=1671, lrate=0.005, error=0.159
    >epoch=1672, lrate=0.005, error=0.159
    >epoch=1673, lrate=0.005, error=0.159
    >epoch=1674, lrate=0.005, error=0.158
    >epoch=1675, lrate=0.005, error=0.158
    >epoch=1676, lrate=0.005, error=0.158
    >epoch=1677, lrate=0.005, error=0.157
    >epoch=1678, lrate=0.005, error=0.157
    >epoch=1679, lrate=0.005, error=0.157
    >epoch=1680, lrate=0.005, error=0.157
    >epoch=1681, lrate=0.005, error=0.156
    >epoch=1682, lrate=0.005, error=0.156
    >epoch=1683, lrate=0.005, error=0.156
    >epoch=1684, lrate=0.005, error=0.155
    >epoch=1685, lrate=0.005, error=0.155
    >epoch=1686, lrate=0.005, error=0.155
    >epoch=1687, lrate=0.005, error=0.154
    >epoch=1688, lrate=0.005, error=0.154
    >epoch=1689, lrate=0.005, error=0.154
    >epoch=1690, lrate=0.005, error=0.153
    >epoch=1691, lrate=0.005, error=0.153
    >epoch=1692, lrate=0.005, error=0.153
    >epoch=1693, lrate=0.005, error=0.152
    >epoch=1694, lrate=0.005, error=0.152
    >epoch=1695, lrate=0.005, error=0.152
    >epoch=1696, lrate=0.005, error=0.151
    >epoch=1697, lrate=0.005, error=0.151
    >epoch=1698, lrate=0.005, error=0.151
    >epoch=1699, lrate=0.005, error=0.150
    >epoch=1700, lrate=0.005, error=0.150
    >epoch=1701, lrate=0.005, error=0.150
    >epoch=1702, lrate=0.005, error=0.150
    >epoch=1703, lrate=0.005, error=0.149
    >epoch=1704, lrate=0.005, error=0.149
    >epoch=1705, lrate=0.005, error=0.149
    >epoch=1706, lrate=0.005, error=0.148
    >epoch=1707, lrate=0.005, error=0.148
    >epoch=1708, lrate=0.005, error=0.148
    >epoch=1709, lrate=0.005, error=0.147
    >epoch=1710, lrate=0.005, error=0.147
    >epoch=1711, lrate=0.005, error=0.147
    >epoch=1712, lrate=0.005, error=0.147
    >epoch=1713, lrate=0.005, error=0.146
    >epoch=1714, lrate=0.005, error=0.146
    >epoch=1715, lrate=0.005, error=0.146
    >epoch=1716, lrate=0.005, error=0.145
    >epoch=1717, lrate=0.005, error=0.145
    >epoch=1718, lrate=0.005, error=0.145
    >epoch=1719, lrate=0.005, error=0.144
    >epoch=1720, lrate=0.005, error=0.144
    >epoch=1721, lrate=0.005, error=0.144
    >epoch=1722, lrate=0.005, error=0.144
    >epoch=1723, lrate=0.005, error=0.143
    >epoch=1724, lrate=0.005, error=0.143
    >epoch=1725, lrate=0.005, error=0.143
    >epoch=1726, lrate=0.005, error=0.142
    >epoch=1727, lrate=0.005, error=0.142
    >epoch=1728, lrate=0.005, error=0.142
    >epoch=1729, lrate=0.005, error=0.141
    >epoch=1730, lrate=0.005, error=0.141
    >epoch=1731, lrate=0.005, error=0.141
    >epoch=1732, lrate=0.005, error=0.141
    >epoch=1733, lrate=0.005, error=0.140
    >epoch=1734, lrate=0.005, error=0.140
    >epoch=1735, lrate=0.005, error=0.140
    >epoch=1736, lrate=0.005, error=0.139
    >epoch=1737, lrate=0.005, error=0.139
    >epoch=1738, lrate=0.005, error=0.139
    >epoch=1739, lrate=0.005, error=0.139
    >epoch=1740, lrate=0.005, error=0.138
    >epoch=1741, lrate=0.005, error=0.138
    >epoch=1742, lrate=0.005, error=0.138
    >epoch=1743, lrate=0.005, error=0.137
    >epoch=1744, lrate=0.005, error=0.137
    >epoch=1745, lrate=0.005, error=0.137
    >epoch=1746, lrate=0.005, error=0.137
    >epoch=1747, lrate=0.005, error=0.136
    >epoch=1748, lrate=0.005, error=0.136
    >epoch=1749, lrate=0.005, error=0.136
    >epoch=1750, lrate=0.005, error=0.135
    >epoch=1751, lrate=0.005, error=0.135
    >epoch=1752, lrate=0.005, error=0.135
    >epoch=1753, lrate=0.005, error=0.135
    >epoch=1754, lrate=0.005, error=0.134
    >epoch=1755, lrate=0.005, error=0.134
    >epoch=1756, lrate=0.005, error=0.134
    >epoch=1757, lrate=0.005, error=0.134
    >epoch=1758, lrate=0.005, error=0.133
    >epoch=1759, lrate=0.005, error=0.133
    >epoch=1760, lrate=0.005, error=0.133
    >epoch=1761, lrate=0.005, error=0.132
    >epoch=1762, lrate=0.005, error=0.132
    >epoch=1763, lrate=0.005, error=0.132
    >epoch=1764, lrate=0.005, error=0.132
    >epoch=1765, lrate=0.005, error=0.131
    >epoch=1766, lrate=0.005, error=0.131
    >epoch=1767, lrate=0.005, error=0.131
    >epoch=1768, lrate=0.005, error=0.131
    >epoch=1769, lrate=0.005, error=0.130
    >epoch=1770, lrate=0.005, error=0.130
    >epoch=1771, lrate=0.005, error=0.130
    >epoch=1772, lrate=0.005, error=0.129
    >epoch=1773, lrate=0.005, error=0.129
    >epoch=1774, lrate=0.005, error=0.129
    >epoch=1775, lrate=0.005, error=0.129
    >epoch=1776, lrate=0.005, error=0.128
    >epoch=1777, lrate=0.005, error=0.128
    >epoch=1778, lrate=0.005, error=0.128
    >epoch=1779, lrate=0.005, error=0.128
    >epoch=1780, lrate=0.005, error=0.127
    >epoch=1781, lrate=0.005, error=0.127
    >epoch=1782, lrate=0.005, error=0.127
    >epoch=1783, lrate=0.005, error=0.127
    >epoch=1784, lrate=0.005, error=0.126
    >epoch=1785, lrate=0.005, error=0.126
    >epoch=1786, lrate=0.005, error=0.126
    >epoch=1787, lrate=0.005, error=0.125
    >epoch=1788, lrate=0.005, error=0.125
    >epoch=1789, lrate=0.005, error=0.125
    >epoch=1790, lrate=0.005, error=0.125
    >epoch=1791, lrate=0.005, error=0.124
    >epoch=1792, lrate=0.005, error=0.124
    >epoch=1793, lrate=0.005, error=0.124
    >epoch=1794, lrate=0.005, error=0.124
    >epoch=1795, lrate=0.005, error=0.123
    >epoch=1796, lrate=0.005, error=0.123
    >epoch=1797, lrate=0.005, error=0.123
    >epoch=1798, lrate=0.005, error=0.123
    >epoch=1799, lrate=0.005, error=0.122
    >epoch=1800, lrate=0.005, error=0.122
    >epoch=1801, lrate=0.005, error=0.122
    >epoch=1802, lrate=0.005, error=0.122
    >epoch=1803, lrate=0.005, error=0.121
    >epoch=1804, lrate=0.005, error=0.121
    >epoch=1805, lrate=0.005, error=0.121
    >epoch=1806, lrate=0.005, error=0.121
    >epoch=1807, lrate=0.005, error=0.120
    >epoch=1808, lrate=0.005, error=0.120
    >epoch=1809, lrate=0.005, error=0.120
    >epoch=1810, lrate=0.005, error=0.120
    >epoch=1811, lrate=0.005, error=0.119
    >epoch=1812, lrate=0.005, error=0.119
    >epoch=1813, lrate=0.005, error=0.119
    >epoch=1814, lrate=0.005, error=0.119
    >epoch=1815, lrate=0.005, error=0.118
    >epoch=1816, lrate=0.005, error=0.118
    >epoch=1817, lrate=0.005, error=0.118
    >epoch=1818, lrate=0.005, error=0.118
    >epoch=1819, lrate=0.005, error=0.117
    >epoch=1820, lrate=0.005, error=0.117
    >epoch=1821, lrate=0.005, error=0.117
    >epoch=1822, lrate=0.005, error=0.117
    >epoch=1823, lrate=0.005, error=0.117
    >epoch=1824, lrate=0.005, error=0.116
    >epoch=1825, lrate=0.005, error=0.116
    >epoch=1826, lrate=0.005, error=0.116
    >epoch=1827, lrate=0.005, error=0.116
    >epoch=1828, lrate=0.005, error=0.115
    >epoch=1829, lrate=0.005, error=0.115
    >epoch=1830, lrate=0.005, error=0.115
    >epoch=1831, lrate=0.005, error=0.115
    >epoch=1832, lrate=0.005, error=0.114
    >epoch=1833, lrate=0.005, error=0.114
    >epoch=1834, lrate=0.005, error=0.114
    >epoch=1835, lrate=0.005, error=0.114
    >epoch=1836, lrate=0.005, error=0.113
    >epoch=1837, lrate=0.005, error=0.113
    >epoch=1838, lrate=0.005, error=0.113
    >epoch=1839, lrate=0.005, error=0.113
    >epoch=1840, lrate=0.005, error=0.112
    >epoch=1841, lrate=0.005, error=0.112
    >epoch=1842, lrate=0.005, error=0.112
    >epoch=1843, lrate=0.005, error=0.112
    >epoch=1844, lrate=0.005, error=0.112
    >epoch=1845, lrate=0.005, error=0.111
    >epoch=1846, lrate=0.005, error=0.111
    >epoch=1847, lrate=0.005, error=0.111
    >epoch=1848, lrate=0.005, error=0.111
    >epoch=1849, lrate=0.005, error=0.110
    >epoch=1850, lrate=0.005, error=0.110
    >epoch=1851, lrate=0.005, error=0.110
    >epoch=1852, lrate=0.005, error=0.110
    >epoch=1853, lrate=0.005, error=0.110
    >epoch=1854, lrate=0.005, error=0.109
    >epoch=1855, lrate=0.005, error=0.109
    >epoch=1856, lrate=0.005, error=0.109
    >epoch=1857, lrate=0.005, error=0.109
    >epoch=1858, lrate=0.005, error=0.108
    >epoch=1859, lrate=0.005, error=0.108
    >epoch=1860, lrate=0.005, error=0.108
    >epoch=1861, lrate=0.005, error=0.108
    >epoch=1862, lrate=0.005, error=0.107
    >epoch=1863, lrate=0.005, error=0.107
    >epoch=1864, lrate=0.005, error=0.107
    >epoch=1865, lrate=0.005, error=0.107
    >epoch=1866, lrate=0.005, error=0.107
    >epoch=1867, lrate=0.005, error=0.106
    >epoch=1868, lrate=0.005, error=0.106
    >epoch=1869, lrate=0.005, error=0.106
    >epoch=1870, lrate=0.005, error=0.106
    >epoch=1871, lrate=0.005, error=0.106
    >epoch=1872, lrate=0.005, error=0.105
    >epoch=1873, lrate=0.005, error=0.105
    >epoch=1874, lrate=0.005, error=0.105
    >epoch=1875, lrate=0.005, error=0.105
    >epoch=1876, lrate=0.005, error=0.104
    >epoch=1877, lrate=0.005, error=0.104
    >epoch=1878, lrate=0.005, error=0.104
    >epoch=1879, lrate=0.005, error=0.104
    >epoch=1880, lrate=0.005, error=0.104
    >epoch=1881, lrate=0.005, error=0.103
    >epoch=1882, lrate=0.005, error=0.103
    >epoch=1883, lrate=0.005, error=0.103
    >epoch=1884, lrate=0.005, error=0.103
    >epoch=1885, lrate=0.005, error=0.103
    >epoch=1886, lrate=0.005, error=0.102
    >epoch=1887, lrate=0.005, error=0.102
    >epoch=1888, lrate=0.005, error=0.102
    >epoch=1889, lrate=0.005, error=0.102
    >epoch=1890, lrate=0.005, error=0.101
    >epoch=1891, lrate=0.005, error=0.101
    >epoch=1892, lrate=0.005, error=0.101
    >epoch=1893, lrate=0.005, error=0.101
    >epoch=1894, lrate=0.005, error=0.101
    >epoch=1895, lrate=0.005, error=0.100
    >epoch=1896, lrate=0.005, error=0.100
    >epoch=1897, lrate=0.005, error=0.100
    >epoch=1898, lrate=0.005, error=0.100
    >epoch=1899, lrate=0.005, error=0.100
    >epoch=1900, lrate=0.005, error=0.099
    >epoch=1901, lrate=0.005, error=0.099
    >epoch=1902, lrate=0.005, error=0.099
    >epoch=1903, lrate=0.005, error=0.099
    >epoch=1904, lrate=0.005, error=0.099
    >epoch=1905, lrate=0.005, error=0.098
    >epoch=1906, lrate=0.005, error=0.098
    >epoch=1907, lrate=0.005, error=0.098
    >epoch=1908, lrate=0.005, error=0.098
    >epoch=1909, lrate=0.005, error=0.098
    >epoch=1910, lrate=0.005, error=0.097
    >epoch=1911, lrate=0.005, error=0.097
    >epoch=1912, lrate=0.005, error=0.097
    >epoch=1913, lrate=0.005, error=0.097
    >epoch=1914, lrate=0.005, error=0.097
    >epoch=1915, lrate=0.005, error=0.096
    >epoch=1916, lrate=0.005, error=0.096
    >epoch=1917, lrate=0.005, error=0.096
    >epoch=1918, lrate=0.005, error=0.096
    >epoch=1919, lrate=0.005, error=0.096
    >epoch=1920, lrate=0.005, error=0.095
    >epoch=1921, lrate=0.005, error=0.095
    >epoch=1922, lrate=0.005, error=0.095
    >epoch=1923, lrate=0.005, error=0.095
    >epoch=1924, lrate=0.005, error=0.095
    >epoch=1925, lrate=0.005, error=0.094
    >epoch=1926, lrate=0.005, error=0.094
    >epoch=1927, lrate=0.005, error=0.094
    >epoch=1928, lrate=0.005, error=0.094
    >epoch=1929, lrate=0.005, error=0.094
    >epoch=1930, lrate=0.005, error=0.093
    >epoch=1931, lrate=0.005, error=0.093
    >epoch=1932, lrate=0.005, error=0.093
    >epoch=1933, lrate=0.005, error=0.093
    >epoch=1934, lrate=0.005, error=0.093
    >epoch=1935, lrate=0.005, error=0.092
    >epoch=1936, lrate=0.005, error=0.092
    >epoch=1937, lrate=0.005, error=0.092
    >epoch=1938, lrate=0.005, error=0.092
    >epoch=1939, lrate=0.005, error=0.092
    >epoch=1940, lrate=0.005, error=0.092
    >epoch=1941, lrate=0.005, error=0.091
    >epoch=1942, lrate=0.005, error=0.091
    >epoch=1943, lrate=0.005, error=0.091
    >epoch=1944, lrate=0.005, error=0.091
    >epoch=1945, lrate=0.005, error=0.091
    >epoch=1946, lrate=0.005, error=0.090
    >epoch=1947, lrate=0.005, error=0.090
    >epoch=1948, lrate=0.005, error=0.090
    >epoch=1949, lrate=0.005, error=0.090
    >epoch=1950, lrate=0.005, error=0.090
    >epoch=1951, lrate=0.005, error=0.089
    >epoch=1952, lrate=0.005, error=0.089
    >epoch=1953, lrate=0.005, error=0.089
    >epoch=1954, lrate=0.005, error=0.089
    >epoch=1955, lrate=0.005, error=0.089
    >epoch=1956, lrate=0.005, error=0.089
    >epoch=1957, lrate=0.005, error=0.088
    >epoch=1958, lrate=0.005, error=0.088
    >epoch=1959, lrate=0.005, error=0.088
    >epoch=1960, lrate=0.005, error=0.088
    >epoch=1961, lrate=0.005, error=0.088
    >epoch=1962, lrate=0.005, error=0.087
    >epoch=1963, lrate=0.005, error=0.087
    >epoch=1964, lrate=0.005, error=0.087
    >epoch=1965, lrate=0.005, error=0.087
    >epoch=1966, lrate=0.005, error=0.087
    >epoch=1967, lrate=0.005, error=0.087
    >epoch=1968, lrate=0.005, error=0.086
    >epoch=1969, lrate=0.005, error=0.086
    >epoch=1970, lrate=0.005, error=0.086
    >epoch=1971, lrate=0.005, error=0.086
    >epoch=1972, lrate=0.005, error=0.086
    >epoch=1973, lrate=0.005, error=0.085
    >epoch=1974, lrate=0.005, error=0.085
    >epoch=1975, lrate=0.005, error=0.085
    >epoch=1976, lrate=0.005, error=0.085
    >epoch=1977, lrate=0.005, error=0.085
    >epoch=1978, lrate=0.005, error=0.085
    >epoch=1979, lrate=0.005, error=0.084
    >epoch=1980, lrate=0.005, error=0.084
    >epoch=1981, lrate=0.005, error=0.084
    >epoch=1982, lrate=0.005, error=0.084
    >epoch=1983, lrate=0.005, error=0.084
    >epoch=1984, lrate=0.005, error=0.084
    >epoch=1985, lrate=0.005, error=0.083
    >epoch=1986, lrate=0.005, error=0.083
    >epoch=1987, lrate=0.005, error=0.083
    >epoch=1988, lrate=0.005, error=0.083
    >epoch=1989, lrate=0.005, error=0.083
    >epoch=1990, lrate=0.005, error=0.083
    >epoch=1991, lrate=0.005, error=0.082
    >epoch=1992, lrate=0.005, error=0.082
    >epoch=1993, lrate=0.005, error=0.082
    >epoch=1994, lrate=0.005, error=0.082
    >epoch=1995, lrate=0.005, error=0.082
    >epoch=1996, lrate=0.005, error=0.082
    >epoch=1997, lrate=0.005, error=0.081
    >epoch=1998, lrate=0.005, error=0.081
    >epoch=1999, lrate=0.005, error=0.081
    >epoch=2000, lrate=0.005, error=0.081
    >epoch=2001, lrate=0.005, error=0.081
    >epoch=2002, lrate=0.005, error=0.081
    >epoch=2003, lrate=0.005, error=0.080
    >epoch=2004, lrate=0.005, error=0.080
    >epoch=2005, lrate=0.005, error=0.080
    >epoch=2006, lrate=0.005, error=0.080
    >epoch=2007, lrate=0.005, error=0.080
    >epoch=2008, lrate=0.005, error=0.080
    >epoch=2009, lrate=0.005, error=0.079
    >epoch=2010, lrate=0.005, error=0.079
    >epoch=2011, lrate=0.005, error=0.079
    >epoch=2012, lrate=0.005, error=0.079
    >epoch=2013, lrate=0.005, error=0.079
    >epoch=2014, lrate=0.005, error=0.079
    >epoch=2015, lrate=0.005, error=0.078
    >epoch=2016, lrate=0.005, error=0.078
    >epoch=2017, lrate=0.005, error=0.078
    >epoch=2018, lrate=0.005, error=0.078
    >epoch=2019, lrate=0.005, error=0.078
    >epoch=2020, lrate=0.005, error=0.078
    >epoch=2021, lrate=0.005, error=0.077
    >epoch=2022, lrate=0.005, error=0.077
    >epoch=2023, lrate=0.005, error=0.077
    >epoch=2024, lrate=0.005, error=0.077
    >epoch=2025, lrate=0.005, error=0.077
    >epoch=2026, lrate=0.005, error=0.077
    >epoch=2027, lrate=0.005, error=0.076
    >epoch=2028, lrate=0.005, error=0.076
    >epoch=2029, lrate=0.005, error=0.076
    >epoch=2030, lrate=0.005, error=0.076
    >epoch=2031, lrate=0.005, error=0.076
    >epoch=2032, lrate=0.005, error=0.076
    >epoch=2033, lrate=0.005, error=0.076
    >epoch=2034, lrate=0.005, error=0.075
    >epoch=2035, lrate=0.005, error=0.075
    >epoch=2036, lrate=0.005, error=0.075
    >epoch=2037, lrate=0.005, error=0.075
    >epoch=2038, lrate=0.005, error=0.075
    >epoch=2039, lrate=0.005, error=0.075
    >epoch=2040, lrate=0.005, error=0.074
    >epoch=2041, lrate=0.005, error=0.074
    >epoch=2042, lrate=0.005, error=0.074
    >epoch=2043, lrate=0.005, error=0.074
    >epoch=2044, lrate=0.005, error=0.074
    >epoch=2045, lrate=0.005, error=0.074
    >epoch=2046, lrate=0.005, error=0.074
    >epoch=2047, lrate=0.005, error=0.073
    >epoch=2048, lrate=0.005, error=0.073
    >epoch=2049, lrate=0.005, error=0.073
    >epoch=2050, lrate=0.005, error=0.073
    >epoch=2051, lrate=0.005, error=0.073
    >epoch=2052, lrate=0.005, error=0.073
    >epoch=2053, lrate=0.005, error=0.072
    >epoch=2054, lrate=0.005, error=0.072
    >epoch=2055, lrate=0.005, error=0.072
    >epoch=2056, lrate=0.005, error=0.072
    >epoch=2057, lrate=0.005, error=0.072
    >epoch=2058, lrate=0.005, error=0.072
    >epoch=2059, lrate=0.005, error=0.072
    >epoch=2060, lrate=0.005, error=0.071
    >epoch=2061, lrate=0.005, error=0.071
    >epoch=2062, lrate=0.005, error=0.071
    >epoch=2063, lrate=0.005, error=0.071
    >epoch=2064, lrate=0.005, error=0.071
    >epoch=2065, lrate=0.005, error=0.071
    >epoch=2066, lrate=0.005, error=0.071
    >epoch=2067, lrate=0.005, error=0.070
    >epoch=2068, lrate=0.005, error=0.070
    >epoch=2069, lrate=0.005, error=0.070
    >epoch=2070, lrate=0.005, error=0.070
    >epoch=2071, lrate=0.005, error=0.070
    >epoch=2072, lrate=0.005, error=0.070
    >epoch=2073, lrate=0.005, error=0.070
    >epoch=2074, lrate=0.005, error=0.069
    >epoch=2075, lrate=0.005, error=0.069
    >epoch=2076, lrate=0.005, error=0.069
    >epoch=2077, lrate=0.005, error=0.069
    >epoch=2078, lrate=0.005, error=0.069
    >epoch=2079, lrate=0.005, error=0.069
    >epoch=2080, lrate=0.005, error=0.069
    >epoch=2081, lrate=0.005, error=0.068
    >epoch=2082, lrate=0.005, error=0.068
    >epoch=2083, lrate=0.005, error=0.068
    >epoch=2084, lrate=0.005, error=0.068
    >epoch=2085, lrate=0.005, error=0.068
    >epoch=2086, lrate=0.005, error=0.068
    >epoch=2087, lrate=0.005, error=0.068
    >epoch=2088, lrate=0.005, error=0.067
    >epoch=2089, lrate=0.005, error=0.067
    >epoch=2090, lrate=0.005, error=0.067
    >epoch=2091, lrate=0.005, error=0.067
    >epoch=2092, lrate=0.005, error=0.067
    >epoch=2093, lrate=0.005, error=0.067
    >epoch=2094, lrate=0.005, error=0.067
    >epoch=2095, lrate=0.005, error=0.066
    >epoch=2096, lrate=0.005, error=0.066
    >epoch=2097, lrate=0.005, error=0.066
    >epoch=2098, lrate=0.005, error=0.066
    >epoch=2099, lrate=0.005, error=0.066
    >epoch=2100, lrate=0.005, error=0.066
    >epoch=2101, lrate=0.005, error=0.066
    >epoch=2102, lrate=0.005, error=0.065
    >epoch=2103, lrate=0.005, error=0.065
    >epoch=2104, lrate=0.005, error=0.065
    >epoch=2105, lrate=0.005, error=0.065
    >epoch=2106, lrate=0.005, error=0.065
    >epoch=2107, lrate=0.005, error=0.065
    >epoch=2108, lrate=0.005, error=0.065
    >epoch=2109, lrate=0.005, error=0.065
    >epoch=2110, lrate=0.005, error=0.064
    >epoch=2111, lrate=0.005, error=0.064
    >epoch=2112, lrate=0.005, error=0.064
    >epoch=2113, lrate=0.005, error=0.064
    >epoch=2114, lrate=0.005, error=0.064
    >epoch=2115, lrate=0.005, error=0.064
    >epoch=2116, lrate=0.005, error=0.064
    >epoch=2117, lrate=0.005, error=0.063
    >epoch=2118, lrate=0.005, error=0.063
    >epoch=2119, lrate=0.005, error=0.063
    >epoch=2120, lrate=0.005, error=0.063
    >epoch=2121, lrate=0.005, error=0.063
    >epoch=2122, lrate=0.005, error=0.063
    >epoch=2123, lrate=0.005, error=0.063
    >epoch=2124, lrate=0.005, error=0.063
    >epoch=2125, lrate=0.005, error=0.062
    >epoch=2126, lrate=0.005, error=0.062
    >epoch=2127, lrate=0.005, error=0.062
    >epoch=2128, lrate=0.005, error=0.062
    >epoch=2129, lrate=0.005, error=0.062
    >epoch=2130, lrate=0.005, error=0.062
    >epoch=2131, lrate=0.005, error=0.062
    >epoch=2132, lrate=0.005, error=0.062
    >epoch=2133, lrate=0.005, error=0.061
    >epoch=2134, lrate=0.005, error=0.061
    >epoch=2135, lrate=0.005, error=0.061
    >epoch=2136, lrate=0.005, error=0.061
    >epoch=2137, lrate=0.005, error=0.061
    >epoch=2138, lrate=0.005, error=0.061
    >epoch=2139, lrate=0.005, error=0.061
    >epoch=2140, lrate=0.005, error=0.061
    >epoch=2141, lrate=0.005, error=0.060
    >epoch=2142, lrate=0.005, error=0.060
    >epoch=2143, lrate=0.005, error=0.060
    >epoch=2144, lrate=0.005, error=0.060
    >epoch=2145, lrate=0.005, error=0.060
    >epoch=2146, lrate=0.005, error=0.060
    >epoch=2147, lrate=0.005, error=0.060
    >epoch=2148, lrate=0.005, error=0.060
    >epoch=2149, lrate=0.005, error=0.059
    >epoch=2150, lrate=0.005, error=0.059
    >epoch=2151, lrate=0.005, error=0.059
    >epoch=2152, lrate=0.005, error=0.059
    >epoch=2153, lrate=0.005, error=0.059
    >epoch=2154, lrate=0.005, error=0.059
    >epoch=2155, lrate=0.005, error=0.059
    >epoch=2156, lrate=0.005, error=0.059
    >epoch=2157, lrate=0.005, error=0.058
    >epoch=2158, lrate=0.005, error=0.058
    >epoch=2159, lrate=0.005, error=0.058
    >epoch=2160, lrate=0.005, error=0.058
    >epoch=2161, lrate=0.005, error=0.058
    >epoch=2162, lrate=0.005, error=0.058
    >epoch=2163, lrate=0.005, error=0.058
    >epoch=2164, lrate=0.005, error=0.058
    >epoch=2165, lrate=0.005, error=0.058
    >epoch=2166, lrate=0.005, error=0.057
    >epoch=2167, lrate=0.005, error=0.057
    >epoch=2168, lrate=0.005, error=0.057
    >epoch=2169, lrate=0.005, error=0.057
    >epoch=2170, lrate=0.005, error=0.057
    >epoch=2171, lrate=0.005, error=0.057
    >epoch=2172, lrate=0.005, error=0.057
    >epoch=2173, lrate=0.005, error=0.057
    >epoch=2174, lrate=0.005, error=0.056
    >epoch=2175, lrate=0.005, error=0.056
    >epoch=2176, lrate=0.005, error=0.056
    >epoch=2177, lrate=0.005, error=0.056
    >epoch=2178, lrate=0.005, error=0.056
    >epoch=2179, lrate=0.005, error=0.056
    >epoch=2180, lrate=0.005, error=0.056
    >epoch=2181, lrate=0.005, error=0.056
    >epoch=2182, lrate=0.005, error=0.056
    >epoch=2183, lrate=0.005, error=0.055
    >epoch=2184, lrate=0.005, error=0.055
    >epoch=2185, lrate=0.005, error=0.055
    >epoch=2186, lrate=0.005, error=0.055
    >epoch=2187, lrate=0.005, error=0.055
    >epoch=2188, lrate=0.005, error=0.055
    >epoch=2189, lrate=0.005, error=0.055
    >epoch=2190, lrate=0.005, error=0.055
    >epoch=2191, lrate=0.005, error=0.055
    >epoch=2192, lrate=0.005, error=0.054
    >epoch=2193, lrate=0.005, error=0.054
    >epoch=2194, lrate=0.005, error=0.054
    >epoch=2195, lrate=0.005, error=0.054
    >epoch=2196, lrate=0.005, error=0.054
    >epoch=2197, lrate=0.005, error=0.054
    >epoch=2198, lrate=0.005, error=0.054
    >epoch=2199, lrate=0.005, error=0.054
    >epoch=2200, lrate=0.005, error=0.053
    >epoch=2201, lrate=0.005, error=0.053
    >epoch=2202, lrate=0.005, error=0.053
    >epoch=2203, lrate=0.005, error=0.053
    >epoch=2204, lrate=0.005, error=0.053
    >epoch=2205, lrate=0.005, error=0.053
    >epoch=2206, lrate=0.005, error=0.053
    >epoch=2207, lrate=0.005, error=0.053
    >epoch=2208, lrate=0.005, error=0.053
    >epoch=2209, lrate=0.005, error=0.053
    >epoch=2210, lrate=0.005, error=0.052
    >epoch=2211, lrate=0.005, error=0.052
    >epoch=2212, lrate=0.005, error=0.052
    >epoch=2213, lrate=0.005, error=0.052
    >epoch=2214, lrate=0.005, error=0.052
    >epoch=2215, lrate=0.005, error=0.052
    >epoch=2216, lrate=0.005, error=0.052
    >epoch=2217, lrate=0.005, error=0.052
    >epoch=2218, lrate=0.005, error=0.052
    >epoch=2219, lrate=0.005, error=0.051
    >epoch=2220, lrate=0.005, error=0.051
    >epoch=2221, lrate=0.005, error=0.051
    >epoch=2222, lrate=0.005, error=0.051
    >epoch=2223, lrate=0.005, error=0.051
    >epoch=2224, lrate=0.005, error=0.051
    >epoch=2225, lrate=0.005, error=0.051
    >epoch=2226, lrate=0.005, error=0.051
    >epoch=2227, lrate=0.005, error=0.051
    >epoch=2228, lrate=0.005, error=0.050
    >epoch=2229, lrate=0.005, error=0.050
    >epoch=2230, lrate=0.005, error=0.050
    >epoch=2231, lrate=0.005, error=0.050
    >epoch=2232, lrate=0.005, error=0.050
    >epoch=2233, lrate=0.005, error=0.050
    >epoch=2234, lrate=0.005, error=0.050
    >epoch=2235, lrate=0.005, error=0.050
    >epoch=2236, lrate=0.005, error=0.050
    >epoch=2237, lrate=0.005, error=0.050
    >epoch=2238, lrate=0.005, error=0.049
    >epoch=2239, lrate=0.005, error=0.049
    >epoch=2240, lrate=0.005, error=0.049
    >epoch=2241, lrate=0.005, error=0.049
    >epoch=2242, lrate=0.005, error=0.049
    >epoch=2243, lrate=0.005, error=0.049
    >epoch=2244, lrate=0.005, error=0.049
    >epoch=2245, lrate=0.005, error=0.049
    >epoch=2246, lrate=0.005, error=0.049
    >epoch=2247, lrate=0.005, error=0.049
    >epoch=2248, lrate=0.005, error=0.048
    >epoch=2249, lrate=0.005, error=0.048
    >epoch=2250, lrate=0.005, error=0.048
    >epoch=2251, lrate=0.005, error=0.048
    >epoch=2252, lrate=0.005, error=0.048
    >epoch=2253, lrate=0.005, error=0.048
    >epoch=2254, lrate=0.005, error=0.048
    >epoch=2255, lrate=0.005, error=0.048
    >epoch=2256, lrate=0.005, error=0.048
    >epoch=2257, lrate=0.005, error=0.048
    >epoch=2258, lrate=0.005, error=0.047
    >epoch=2259, lrate=0.005, error=0.047
    >epoch=2260, lrate=0.005, error=0.047
    >epoch=2261, lrate=0.005, error=0.047
    >epoch=2262, lrate=0.005, error=0.047
    >epoch=2263, lrate=0.005, error=0.047
    >epoch=2264, lrate=0.005, error=0.047
    >epoch=2265, lrate=0.005, error=0.047
    >epoch=2266, lrate=0.005, error=0.047
    >epoch=2267, lrate=0.005, error=0.047
    >epoch=2268, lrate=0.005, error=0.046
    >epoch=2269, lrate=0.005, error=0.046
    >epoch=2270, lrate=0.005, error=0.046
    >epoch=2271, lrate=0.005, error=0.046
    >epoch=2272, lrate=0.005, error=0.046
    >epoch=2273, lrate=0.005, error=0.046
    >epoch=2274, lrate=0.005, error=0.046
    >epoch=2275, lrate=0.005, error=0.046
    >epoch=2276, lrate=0.005, error=0.046
    >epoch=2277, lrate=0.005, error=0.046
    >epoch=2278, lrate=0.005, error=0.046
    >epoch=2279, lrate=0.005, error=0.045
    >epoch=2280, lrate=0.005, error=0.045
    >epoch=2281, lrate=0.005, error=0.045
    >epoch=2282, lrate=0.005, error=0.045
    >epoch=2283, lrate=0.005, error=0.045
    >epoch=2284, lrate=0.005, error=0.045
    >epoch=2285, lrate=0.005, error=0.045
    >epoch=2286, lrate=0.005, error=0.045
    >epoch=2287, lrate=0.005, error=0.045
    >epoch=2288, lrate=0.005, error=0.045
    >epoch=2289, lrate=0.005, error=0.045
    >epoch=2290, lrate=0.005, error=0.044
    >epoch=2291, lrate=0.005, error=0.044
    >epoch=2292, lrate=0.005, error=0.044
    >epoch=2293, lrate=0.005, error=0.044
    >epoch=2294, lrate=0.005, error=0.044
    >epoch=2295, lrate=0.005, error=0.044
    >epoch=2296, lrate=0.005, error=0.044
    >epoch=2297, lrate=0.005, error=0.044
    >epoch=2298, lrate=0.005, error=0.044
    >epoch=2299, lrate=0.005, error=0.044
    >epoch=2300, lrate=0.005, error=0.044
    >epoch=2301, lrate=0.005, error=0.043
    >epoch=2302, lrate=0.005, error=0.043
    >epoch=2303, lrate=0.005, error=0.043
    >epoch=2304, lrate=0.005, error=0.043
    >epoch=2305, lrate=0.005, error=0.043
    >epoch=2306, lrate=0.005, error=0.043
    >epoch=2307, lrate=0.005, error=0.043
    >epoch=2308, lrate=0.005, error=0.043
    >epoch=2309, lrate=0.005, error=0.043
    >epoch=2310, lrate=0.005, error=0.043
    >epoch=2311, lrate=0.005, error=0.043
    >epoch=2312, lrate=0.005, error=0.042
    >epoch=2313, lrate=0.005, error=0.042
    >epoch=2314, lrate=0.005, error=0.042
    >epoch=2315, lrate=0.005, error=0.042
    >epoch=2316, lrate=0.005, error=0.042
    >epoch=2317, lrate=0.005, error=0.042
    >epoch=2318, lrate=0.005, error=0.042
    >epoch=2319, lrate=0.005, error=0.042
    >epoch=2320, lrate=0.005, error=0.042
    >epoch=2321, lrate=0.005, error=0.042
    >epoch=2322, lrate=0.005, error=0.042
    >epoch=2323, lrate=0.005, error=0.042
    >epoch=2324, lrate=0.005, error=0.041
    >epoch=2325, lrate=0.005, error=0.041
    >epoch=2326, lrate=0.005, error=0.041
    >epoch=2327, lrate=0.005, error=0.041
    >epoch=2328, lrate=0.005, error=0.041
    >epoch=2329, lrate=0.005, error=0.041
    >epoch=2330, lrate=0.005, error=0.041
    >epoch=2331, lrate=0.005, error=0.041
    >epoch=2332, lrate=0.005, error=0.041
    >epoch=2333, lrate=0.005, error=0.041
    >epoch=2334, lrate=0.005, error=0.041
    >epoch=2335, lrate=0.005, error=0.040
    >epoch=2336, lrate=0.005, error=0.040
    >epoch=2337, lrate=0.005, error=0.040
    >epoch=2338, lrate=0.005, error=0.040
    >epoch=2339, lrate=0.005, error=0.040
    >epoch=2340, lrate=0.005, error=0.040
    >epoch=2341, lrate=0.005, error=0.040
    >epoch=2342, lrate=0.005, error=0.040
    >epoch=2343, lrate=0.005, error=0.040
    >epoch=2344, lrate=0.005, error=0.040
    >epoch=2345, lrate=0.005, error=0.040
    >epoch=2346, lrate=0.005, error=0.040
    >epoch=2347, lrate=0.005, error=0.039
    >epoch=2348, lrate=0.005, error=0.039
    >epoch=2349, lrate=0.005, error=0.039
    >epoch=2350, lrate=0.005, error=0.039
    >epoch=2351, lrate=0.005, error=0.039
    >epoch=2352, lrate=0.005, error=0.039
    >epoch=2353, lrate=0.005, error=0.039
    >epoch=2354, lrate=0.005, error=0.039
    >epoch=2355, lrate=0.005, error=0.039
    >epoch=2356, lrate=0.005, error=0.039
    >epoch=2357, lrate=0.005, error=0.039
    >epoch=2358, lrate=0.005, error=0.039
    >epoch=2359, lrate=0.005, error=0.039
    >epoch=2360, lrate=0.005, error=0.038
    >epoch=2361, lrate=0.005, error=0.038
    >epoch=2362, lrate=0.005, error=0.038
    >epoch=2363, lrate=0.005, error=0.038
    >epoch=2364, lrate=0.005, error=0.038
    >epoch=2365, lrate=0.005, error=0.038
    >epoch=2366, lrate=0.005, error=0.038
    >epoch=2367, lrate=0.005, error=0.038
    >epoch=2368, lrate=0.005, error=0.038
    >epoch=2369, lrate=0.005, error=0.038
    >epoch=2370, lrate=0.005, error=0.038
    >epoch=2371, lrate=0.005, error=0.038
    >epoch=2372, lrate=0.005, error=0.038
    >epoch=2373, lrate=0.005, error=0.037
    >epoch=2374, lrate=0.005, error=0.037
    >epoch=2375, lrate=0.005, error=0.037
    >epoch=2376, lrate=0.005, error=0.037
    >epoch=2377, lrate=0.005, error=0.037
    >epoch=2378, lrate=0.005, error=0.037
    >epoch=2379, lrate=0.005, error=0.037
    >epoch=2380, lrate=0.005, error=0.037
    >epoch=2381, lrate=0.005, error=0.037
    >epoch=2382, lrate=0.005, error=0.037
    >epoch=2383, lrate=0.005, error=0.037
    >epoch=2384, lrate=0.005, error=0.037
    >epoch=2385, lrate=0.005, error=0.037
    >epoch=2386, lrate=0.005, error=0.036
    >epoch=2387, lrate=0.005, error=0.036
    >epoch=2388, lrate=0.005, error=0.036
    >epoch=2389, lrate=0.005, error=0.036
    >epoch=2390, lrate=0.005, error=0.036
    >epoch=2391, lrate=0.005, error=0.036
    >epoch=2392, lrate=0.005, error=0.036
    >epoch=2393, lrate=0.005, error=0.036
    >epoch=2394, lrate=0.005, error=0.036
    >epoch=2395, lrate=0.005, error=0.036
    >epoch=2396, lrate=0.005, error=0.036
    >epoch=2397, lrate=0.005, error=0.036
    >epoch=2398, lrate=0.005, error=0.036
    >epoch=2399, lrate=0.005, error=0.035
    >epoch=2400, lrate=0.005, error=0.035
    >epoch=2401, lrate=0.005, error=0.035
    >epoch=2402, lrate=0.005, error=0.035
    >epoch=2403, lrate=0.005, error=0.035
    >epoch=2404, lrate=0.005, error=0.035
    >epoch=2405, lrate=0.005, error=0.035
    >epoch=2406, lrate=0.005, error=0.035
    >epoch=2407, lrate=0.005, error=0.035
    >epoch=2408, lrate=0.005, error=0.035
    >epoch=2409, lrate=0.005, error=0.035
    >epoch=2410, lrate=0.005, error=0.035
    >epoch=2411, lrate=0.005, error=0.035
    >epoch=2412, lrate=0.005, error=0.035
    >epoch=2413, lrate=0.005, error=0.034
    >epoch=2414, lrate=0.005, error=0.034
    >epoch=2415, lrate=0.005, error=0.034
    >epoch=2416, lrate=0.005, error=0.034
    >epoch=2417, lrate=0.005, error=0.034
    >epoch=2418, lrate=0.005, error=0.034
    >epoch=2419, lrate=0.005, error=0.034
    >epoch=2420, lrate=0.005, error=0.034
    >epoch=2421, lrate=0.005, error=0.034
    >epoch=2422, lrate=0.005, error=0.034
    >epoch=2423, lrate=0.005, error=0.034
    >epoch=2424, lrate=0.005, error=0.034
    >epoch=2425, lrate=0.005, error=0.034
    >epoch=2426, lrate=0.005, error=0.034
    >epoch=2427, lrate=0.005, error=0.033
    >epoch=2428, lrate=0.005, error=0.033
    >epoch=2429, lrate=0.005, error=0.033
    >epoch=2430, lrate=0.005, error=0.033
    >epoch=2431, lrate=0.005, error=0.033
    >epoch=2432, lrate=0.005, error=0.033
    >epoch=2433, lrate=0.005, error=0.033
    >epoch=2434, lrate=0.005, error=0.033
    >epoch=2435, lrate=0.005, error=0.033
    >epoch=2436, lrate=0.005, error=0.033
    >epoch=2437, lrate=0.005, error=0.033
    >epoch=2438, lrate=0.005, error=0.033
    >epoch=2439, lrate=0.005, error=0.033
    >epoch=2440, lrate=0.005, error=0.033
    >epoch=2441, lrate=0.005, error=0.033
    >epoch=2442, lrate=0.005, error=0.032
    >epoch=2443, lrate=0.005, error=0.032
    >epoch=2444, lrate=0.005, error=0.032
    >epoch=2445, lrate=0.005, error=0.032
    >epoch=2446, lrate=0.005, error=0.032
    >epoch=2447, lrate=0.005, error=0.032
    >epoch=2448, lrate=0.005, error=0.032
    >epoch=2449, lrate=0.005, error=0.032
    >epoch=2450, lrate=0.005, error=0.032
    >epoch=2451, lrate=0.005, error=0.032
    >epoch=2452, lrate=0.005, error=0.032
    >epoch=2453, lrate=0.005, error=0.032
    >epoch=2454, lrate=0.005, error=0.032
    >epoch=2455, lrate=0.005, error=0.032
    >epoch=2456, lrate=0.005, error=0.032
    >epoch=2457, lrate=0.005, error=0.031
    >epoch=2458, lrate=0.005, error=0.031
    >epoch=2459, lrate=0.005, error=0.031
    >epoch=2460, lrate=0.005, error=0.031
    >epoch=2461, lrate=0.005, error=0.031
    >epoch=2462, lrate=0.005, error=0.031
    >epoch=2463, lrate=0.005, error=0.031
    >epoch=2464, lrate=0.005, error=0.031
    >epoch=2465, lrate=0.005, error=0.031
    >epoch=2466, lrate=0.005, error=0.031
    >epoch=2467, lrate=0.005, error=0.031
    >epoch=2468, lrate=0.005, error=0.031
    >epoch=2469, lrate=0.005, error=0.031
    >epoch=2470, lrate=0.005, error=0.031
    >epoch=2471, lrate=0.005, error=0.031
    >epoch=2472, lrate=0.005, error=0.031
    >epoch=2473, lrate=0.005, error=0.030
    >epoch=2474, lrate=0.005, error=0.030
    >epoch=2475, lrate=0.005, error=0.030
    >epoch=2476, lrate=0.005, error=0.030
    >epoch=2477, lrate=0.005, error=0.030
    >epoch=2478, lrate=0.005, error=0.030
    >epoch=2479, lrate=0.005, error=0.030
    >epoch=2480, lrate=0.005, error=0.030
    >epoch=2481, lrate=0.005, error=0.030
    >epoch=2482, lrate=0.005, error=0.030
    >epoch=2483, lrate=0.005, error=0.030
    >epoch=2484, lrate=0.005, error=0.030
    >epoch=2485, lrate=0.005, error=0.030
    >epoch=2486, lrate=0.005, error=0.030
    >epoch=2487, lrate=0.005, error=0.030
    >epoch=2488, lrate=0.005, error=0.030
    >epoch=2489, lrate=0.005, error=0.029
    >epoch=2490, lrate=0.005, error=0.029
    >epoch=2491, lrate=0.005, error=0.029
    >epoch=2492, lrate=0.005, error=0.029
    >epoch=2493, lrate=0.005, error=0.029
    >epoch=2494, lrate=0.005, error=0.029
    >epoch=2495, lrate=0.005, error=0.029
    >epoch=2496, lrate=0.005, error=0.029
    >epoch=2497, lrate=0.005, error=0.029
    >epoch=2498, lrate=0.005, error=0.029
    >epoch=2499, lrate=0.005, error=0.029
    >epoch=2500, lrate=0.005, error=0.029
    >epoch=2501, lrate=0.005, error=0.029
    >epoch=2502, lrate=0.005, error=0.029
    >epoch=2503, lrate=0.005, error=0.029
    >epoch=2504, lrate=0.005, error=0.029
    >epoch=2505, lrate=0.005, error=0.029
    >epoch=2506, lrate=0.005, error=0.028
    >epoch=2507, lrate=0.005, error=0.028
    >epoch=2508, lrate=0.005, error=0.028
    >epoch=2509, lrate=0.005, error=0.028
    >epoch=2510, lrate=0.005, error=0.028
    >epoch=2511, lrate=0.005, error=0.028
    >epoch=2512, lrate=0.005, error=0.028
    >epoch=2513, lrate=0.005, error=0.028
    >epoch=2514, lrate=0.005, error=0.028
    >epoch=2515, lrate=0.005, error=0.028
    >epoch=2516, lrate=0.005, error=0.028
    >epoch=2517, lrate=0.005, error=0.028
    >epoch=2518, lrate=0.005, error=0.028
    >epoch=2519, lrate=0.005, error=0.028
    >epoch=2520, lrate=0.005, error=0.028
    >epoch=2521, lrate=0.005, error=0.028
    >epoch=2522, lrate=0.005, error=0.028
    >epoch=2523, lrate=0.005, error=0.027
    >epoch=2524, lrate=0.005, error=0.027
    >epoch=2525, lrate=0.005, error=0.027
    >epoch=2526, lrate=0.005, error=0.027
    >epoch=2527, lrate=0.005, error=0.027
    >epoch=2528, lrate=0.005, error=0.027
    >epoch=2529, lrate=0.005, error=0.027
    >epoch=2530, lrate=0.005, error=0.027
    >epoch=2531, lrate=0.005, error=0.027
    >epoch=2532, lrate=0.005, error=0.027
    >epoch=2533, lrate=0.005, error=0.027
    >epoch=2534, lrate=0.005, error=0.027
    >epoch=2535, lrate=0.005, error=0.027
    >epoch=2536, lrate=0.005, error=0.027
    >epoch=2537, lrate=0.005, error=0.027
    >epoch=2538, lrate=0.005, error=0.027
    >epoch=2539, lrate=0.005, error=0.027
    >epoch=2540, lrate=0.005, error=0.027
    >epoch=2541, lrate=0.005, error=0.026
    >epoch=2542, lrate=0.005, error=0.026
    >epoch=2543, lrate=0.005, error=0.026
    >epoch=2544, lrate=0.005, error=0.026
    >epoch=2545, lrate=0.005, error=0.026
    >epoch=2546, lrate=0.005, error=0.026
    >epoch=2547, lrate=0.005, error=0.026
    >epoch=2548, lrate=0.005, error=0.026
    >epoch=2549, lrate=0.005, error=0.026
    >epoch=2550, lrate=0.005, error=0.026
    >epoch=2551, lrate=0.005, error=0.026
    >epoch=2552, lrate=0.005, error=0.026
    >epoch=2553, lrate=0.005, error=0.026
    >epoch=2554, lrate=0.005, error=0.026
    >epoch=2555, lrate=0.005, error=0.026
    >epoch=2556, lrate=0.005, error=0.026
    >epoch=2557, lrate=0.005, error=0.026
    >epoch=2558, lrate=0.005, error=0.026
    >epoch=2559, lrate=0.005, error=0.025
    >epoch=2560, lrate=0.005, error=0.025
    >epoch=2561, lrate=0.005, error=0.025
    >epoch=2562, lrate=0.005, error=0.025
    >epoch=2563, lrate=0.005, error=0.025
    >epoch=2564, lrate=0.005, error=0.025
    >epoch=2565, lrate=0.005, error=0.025
    >epoch=2566, lrate=0.005, error=0.025
    >epoch=2567, lrate=0.005, error=0.025
    >epoch=2568, lrate=0.005, error=0.025
    >epoch=2569, lrate=0.005, error=0.025
    >epoch=2570, lrate=0.005, error=0.025
    >epoch=2571, lrate=0.005, error=0.025
    >epoch=2572, lrate=0.005, error=0.025
    >epoch=2573, lrate=0.005, error=0.025
    >epoch=2574, lrate=0.005, error=0.025
    >epoch=2575, lrate=0.005, error=0.025
    >epoch=2576, lrate=0.005, error=0.025
    >epoch=2577, lrate=0.005, error=0.025
    >epoch=2578, lrate=0.005, error=0.025
    >epoch=2579, lrate=0.005, error=0.024
    >epoch=2580, lrate=0.005, error=0.024
    >epoch=2581, lrate=0.005, error=0.024
    >epoch=2582, lrate=0.005, error=0.024
    >epoch=2583, lrate=0.005, error=0.024
    >epoch=2584, lrate=0.005, error=0.024
    >epoch=2585, lrate=0.005, error=0.024
    >epoch=2586, lrate=0.005, error=0.024
    >epoch=2587, lrate=0.005, error=0.024
    >epoch=2588, lrate=0.005, error=0.024
    >epoch=2589, lrate=0.005, error=0.024
    >epoch=2590, lrate=0.005, error=0.024
    >epoch=2591, lrate=0.005, error=0.024
    >epoch=2592, lrate=0.005, error=0.024
    >epoch=2593, lrate=0.005, error=0.024
    >epoch=2594, lrate=0.005, error=0.024
    >epoch=2595, lrate=0.005, error=0.024
    >epoch=2596, lrate=0.005, error=0.024
    >epoch=2597, lrate=0.005, error=0.024
    >epoch=2598, lrate=0.005, error=0.024
    >epoch=2599, lrate=0.005, error=0.023
    >epoch=2600, lrate=0.005, error=0.023
    >epoch=2601, lrate=0.005, error=0.023
    >epoch=2602, lrate=0.005, error=0.023
    >epoch=2603, lrate=0.005, error=0.023
    >epoch=2604, lrate=0.005, error=0.023
    >epoch=2605, lrate=0.005, error=0.023
    >epoch=2606, lrate=0.005, error=0.023
    >epoch=2607, lrate=0.005, error=0.023
    >epoch=2608, lrate=0.005, error=0.023
    >epoch=2609, lrate=0.005, error=0.023
    >epoch=2610, lrate=0.005, error=0.023
    >epoch=2611, lrate=0.005, error=0.023
    >epoch=2612, lrate=0.005, error=0.023
    >epoch=2613, lrate=0.005, error=0.023
    >epoch=2614, lrate=0.005, error=0.023
    >epoch=2615, lrate=0.005, error=0.023
    >epoch=2616, lrate=0.005, error=0.023
    >epoch=2617, lrate=0.005, error=0.023
    >epoch=2618, lrate=0.005, error=0.023
    >epoch=2619, lrate=0.005, error=0.023
    >epoch=2620, lrate=0.005, error=0.022
    >epoch=2621, lrate=0.005, error=0.022
    >epoch=2622, lrate=0.005, error=0.022
    >epoch=2623, lrate=0.005, error=0.022
    >epoch=2624, lrate=0.005, error=0.022
    >epoch=2625, lrate=0.005, error=0.022
    >epoch=2626, lrate=0.005, error=0.022
    >epoch=2627, lrate=0.005, error=0.022
    >epoch=2628, lrate=0.005, error=0.022
    >epoch=2629, lrate=0.005, error=0.022
    >epoch=2630, lrate=0.005, error=0.022
    >epoch=2631, lrate=0.005, error=0.022
    >epoch=2632, lrate=0.005, error=0.022
    >epoch=2633, lrate=0.005, error=0.022
    >epoch=2634, lrate=0.005, error=0.022
    >epoch=2635, lrate=0.005, error=0.022
    >epoch=2636, lrate=0.005, error=0.022
    >epoch=2637, lrate=0.005, error=0.022
    >epoch=2638, lrate=0.005, error=0.022
    >epoch=2639, lrate=0.005, error=0.022
    >epoch=2640, lrate=0.005, error=0.022
    >epoch=2641, lrate=0.005, error=0.022
    >epoch=2642, lrate=0.005, error=0.021
    >epoch=2643, lrate=0.005, error=0.021
    >epoch=2644, lrate=0.005, error=0.021
    >epoch=2645, lrate=0.005, error=0.021
    >epoch=2646, lrate=0.005, error=0.021
    >epoch=2647, lrate=0.005, error=0.021
    >epoch=2648, lrate=0.005, error=0.021
    >epoch=2649, lrate=0.005, error=0.021
    >epoch=2650, lrate=0.005, error=0.021
    >epoch=2651, lrate=0.005, error=0.021
    >epoch=2652, lrate=0.005, error=0.021
    >epoch=2653, lrate=0.005, error=0.021
    >epoch=2654, lrate=0.005, error=0.021
    >epoch=2655, lrate=0.005, error=0.021
    >epoch=2656, lrate=0.005, error=0.021
    >epoch=2657, lrate=0.005, error=0.021
    >epoch=2658, lrate=0.005, error=0.021
    >epoch=2659, lrate=0.005, error=0.021
    >epoch=2660, lrate=0.005, error=0.021
    >epoch=2661, lrate=0.005, error=0.021
    >epoch=2662, lrate=0.005, error=0.021
    >epoch=2663, lrate=0.005, error=0.021
    >epoch=2664, lrate=0.005, error=0.021
    >epoch=2665, lrate=0.005, error=0.020
    >epoch=2666, lrate=0.005, error=0.020
    >epoch=2667, lrate=0.005, error=0.020
    >epoch=2668, lrate=0.005, error=0.020
    >epoch=2669, lrate=0.005, error=0.020
    >epoch=2670, lrate=0.005, error=0.020
    >epoch=2671, lrate=0.005, error=0.020
    >epoch=2672, lrate=0.005, error=0.020
    >epoch=2673, lrate=0.005, error=0.020
    >epoch=2674, lrate=0.005, error=0.020
    >epoch=2675, lrate=0.005, error=0.020
    >epoch=2676, lrate=0.005, error=0.020
    >epoch=2677, lrate=0.005, error=0.020
    >epoch=2678, lrate=0.005, error=0.020
    >epoch=2679, lrate=0.005, error=0.020
    >epoch=2680, lrate=0.005, error=0.020
    >epoch=2681, lrate=0.005, error=0.020
    >epoch=2682, lrate=0.005, error=0.020
    >epoch=2683, lrate=0.005, error=0.020
    >epoch=2684, lrate=0.005, error=0.020
    >epoch=2685, lrate=0.005, error=0.020
    >epoch=2686, lrate=0.005, error=0.020
    >epoch=2687, lrate=0.005, error=0.020
    >epoch=2688, lrate=0.005, error=0.020
    >epoch=2689, lrate=0.005, error=0.019
    >epoch=2690, lrate=0.005, error=0.019
    >epoch=2691, lrate=0.005, error=0.019
    >epoch=2692, lrate=0.005, error=0.019
    >epoch=2693, lrate=0.005, error=0.019
    >epoch=2694, lrate=0.005, error=0.019
    >epoch=2695, lrate=0.005, error=0.019
    >epoch=2696, lrate=0.005, error=0.019
    >epoch=2697, lrate=0.005, error=0.019
    >epoch=2698, lrate=0.005, error=0.019
    >epoch=2699, lrate=0.005, error=0.019
    >epoch=2700, lrate=0.005, error=0.019
    >epoch=2701, lrate=0.005, error=0.019
    >epoch=2702, lrate=0.005, error=0.019
    >epoch=2703, lrate=0.005, error=0.019
    >epoch=2704, lrate=0.005, error=0.019
    >epoch=2705, lrate=0.005, error=0.019
    >epoch=2706, lrate=0.005, error=0.019
    >epoch=2707, lrate=0.005, error=0.019
    >epoch=2708, lrate=0.005, error=0.019
    >epoch=2709, lrate=0.005, error=0.019
    >epoch=2710, lrate=0.005, error=0.019
    >epoch=2711, lrate=0.005, error=0.019
    >epoch=2712, lrate=0.005, error=0.019
    >epoch=2713, lrate=0.005, error=0.019
    >epoch=2714, lrate=0.005, error=0.019
    >epoch=2715, lrate=0.005, error=0.018
    >epoch=2716, lrate=0.005, error=0.018
    >epoch=2717, lrate=0.005, error=0.018
    >epoch=2718, lrate=0.005, error=0.018
    >epoch=2719, lrate=0.005, error=0.018
    >epoch=2720, lrate=0.005, error=0.018
    >epoch=2721, lrate=0.005, error=0.018
    >epoch=2722, lrate=0.005, error=0.018
    >epoch=2723, lrate=0.005, error=0.018
    >epoch=2724, lrate=0.005, error=0.018
    >epoch=2725, lrate=0.005, error=0.018
    >epoch=2726, lrate=0.005, error=0.018
    >epoch=2727, lrate=0.005, error=0.018
    >epoch=2728, lrate=0.005, error=0.018
    >epoch=2729, lrate=0.005, error=0.018
    >epoch=2730, lrate=0.005, error=0.018
    >epoch=2731, lrate=0.005, error=0.018
    >epoch=2732, lrate=0.005, error=0.018
    >epoch=2733, lrate=0.005, error=0.018
    >epoch=2734, lrate=0.005, error=0.018
    >epoch=2735, lrate=0.005, error=0.018
    >epoch=2736, lrate=0.005, error=0.018
    >epoch=2737, lrate=0.005, error=0.018
    >epoch=2738, lrate=0.005, error=0.018
    >epoch=2739, lrate=0.005, error=0.018
    >epoch=2740, lrate=0.005, error=0.018
    >epoch=2741, lrate=0.005, error=0.018
    >epoch=2742, lrate=0.005, error=0.017
    >epoch=2743, lrate=0.005, error=0.017
    >epoch=2744, lrate=0.005, error=0.017
    >epoch=2745, lrate=0.005, error=0.017
    >epoch=2746, lrate=0.005, error=0.017
    >epoch=2747, lrate=0.005, error=0.017
    >epoch=2748, lrate=0.005, error=0.017
    >epoch=2749, lrate=0.005, error=0.017
    >epoch=2750, lrate=0.005, error=0.017
    >epoch=2751, lrate=0.005, error=0.017
    >epoch=2752, lrate=0.005, error=0.017
    >epoch=2753, lrate=0.005, error=0.017
    >epoch=2754, lrate=0.005, error=0.017
    >epoch=2755, lrate=0.005, error=0.017
    >epoch=2756, lrate=0.005, error=0.017
    >epoch=2757, lrate=0.005, error=0.017
    >epoch=2758, lrate=0.005, error=0.017
    >epoch=2759, lrate=0.005, error=0.017
    >epoch=2760, lrate=0.005, error=0.017
    >epoch=2761, lrate=0.005, error=0.017
    >epoch=2762, lrate=0.005, error=0.017
    >epoch=2763, lrate=0.005, error=0.017
    >epoch=2764, lrate=0.005, error=0.017
    >epoch=2765, lrate=0.005, error=0.017
    >epoch=2766, lrate=0.005, error=0.017
    >epoch=2767, lrate=0.005, error=0.017
    >epoch=2768, lrate=0.005, error=0.017
    >epoch=2769, lrate=0.005, error=0.017
    >epoch=2770, lrate=0.005, error=0.016
    >epoch=2771, lrate=0.005, error=0.016
    >epoch=2772, lrate=0.005, error=0.016
    >epoch=2773, lrate=0.005, error=0.016
    >epoch=2774, lrate=0.005, error=0.016
    >epoch=2775, lrate=0.005, error=0.016
    >epoch=2776, lrate=0.005, error=0.016
    >epoch=2777, lrate=0.005, error=0.016
    >epoch=2778, lrate=0.005, error=0.016
    >epoch=2779, lrate=0.005, error=0.016
    >epoch=2780, lrate=0.005, error=0.016
    >epoch=2781, lrate=0.005, error=0.016
    >epoch=2782, lrate=0.005, error=0.016
    >epoch=2783, lrate=0.005, error=0.016
    >epoch=2784, lrate=0.005, error=0.016
    >epoch=2785, lrate=0.005, error=0.016
    >epoch=2786, lrate=0.005, error=0.016
    >epoch=2787, lrate=0.005, error=0.016
    >epoch=2788, lrate=0.005, error=0.016
    >epoch=2789, lrate=0.005, error=0.016
    >epoch=2790, lrate=0.005, error=0.016
    >epoch=2791, lrate=0.005, error=0.016
    >epoch=2792, lrate=0.005, error=0.016
    >epoch=2793, lrate=0.005, error=0.016
    >epoch=2794, lrate=0.005, error=0.016
    >epoch=2795, lrate=0.005, error=0.016
    >epoch=2796, lrate=0.005, error=0.016
    >epoch=2797, lrate=0.005, error=0.016
    >epoch=2798, lrate=0.005, error=0.016
    >epoch=2799, lrate=0.005, error=0.016
    >epoch=2800, lrate=0.005, error=0.016
    >epoch=2801, lrate=0.005, error=0.015
    >epoch=2802, lrate=0.005, error=0.015
    >epoch=2803, lrate=0.005, error=0.015
    >epoch=2804, lrate=0.005, error=0.015
    >epoch=2805, lrate=0.005, error=0.015
    >epoch=2806, lrate=0.005, error=0.015
    >epoch=2807, lrate=0.005, error=0.015
    >epoch=2808, lrate=0.005, error=0.015
    >epoch=2809, lrate=0.005, error=0.015
    >epoch=2810, lrate=0.005, error=0.015
    >epoch=2811, lrate=0.005, error=0.015
    >epoch=2812, lrate=0.005, error=0.015
    >epoch=2813, lrate=0.005, error=0.015
    >epoch=2814, lrate=0.005, error=0.015
    >epoch=2815, lrate=0.005, error=0.015
    >epoch=2816, lrate=0.005, error=0.015
    >epoch=2817, lrate=0.005, error=0.015
    >epoch=2818, lrate=0.005, error=0.015
    >epoch=2819, lrate=0.005, error=0.015
    >epoch=2820, lrate=0.005, error=0.015
    >epoch=2821, lrate=0.005, error=0.015
    >epoch=2822, lrate=0.005, error=0.015
    >epoch=2823, lrate=0.005, error=0.015
    >epoch=2824, lrate=0.005, error=0.015
    >epoch=2825, lrate=0.005, error=0.015
    >epoch=2826, lrate=0.005, error=0.015
    >epoch=2827, lrate=0.005, error=0.015
    >epoch=2828, lrate=0.005, error=0.015
    >epoch=2829, lrate=0.005, error=0.015
    >epoch=2830, lrate=0.005, error=0.015
    >epoch=2831, lrate=0.005, error=0.015
    >epoch=2832, lrate=0.005, error=0.015
    >epoch=2833, lrate=0.005, error=0.014
    >epoch=2834, lrate=0.005, error=0.014
    >epoch=2835, lrate=0.005, error=0.014
    >epoch=2836, lrate=0.005, error=0.014
    >epoch=2837, lrate=0.005, error=0.014
    >epoch=2838, lrate=0.005, error=0.014
    >epoch=2839, lrate=0.005, error=0.014
    >epoch=2840, lrate=0.005, error=0.014
    >epoch=2841, lrate=0.005, error=0.014
    >epoch=2842, lrate=0.005, error=0.014
    >epoch=2843, lrate=0.005, error=0.014
    >epoch=2844, lrate=0.005, error=0.014
    >epoch=2845, lrate=0.005, error=0.014
    >epoch=2846, lrate=0.005, error=0.014
    >epoch=2847, lrate=0.005, error=0.014
    >epoch=2848, lrate=0.005, error=0.014
    >epoch=2849, lrate=0.005, error=0.014
    >epoch=2850, lrate=0.005, error=0.014
    >epoch=2851, lrate=0.005, error=0.014
    >epoch=2852, lrate=0.005, error=0.014
    >epoch=2853, lrate=0.005, error=0.014
    >epoch=2854, lrate=0.005, error=0.014
    >epoch=2855, lrate=0.005, error=0.014
    >epoch=2856, lrate=0.005, error=0.014
    >epoch=2857, lrate=0.005, error=0.014
    >epoch=2858, lrate=0.005, error=0.014
    >epoch=2859, lrate=0.005, error=0.014
    >epoch=2860, lrate=0.005, error=0.014
    >epoch=2861, lrate=0.005, error=0.014
    >epoch=2862, lrate=0.005, error=0.014
    >epoch=2863, lrate=0.005, error=0.014
    >epoch=2864, lrate=0.005, error=0.014
    >epoch=2865, lrate=0.005, error=0.014
    >epoch=2866, lrate=0.005, error=0.014
    >epoch=2867, lrate=0.005, error=0.013
    >epoch=2868, lrate=0.005, error=0.013
    >epoch=2869, lrate=0.005, error=0.013
    >epoch=2870, lrate=0.005, error=0.013
    >epoch=2871, lrate=0.005, error=0.013
    >epoch=2872, lrate=0.005, error=0.013
    >epoch=2873, lrate=0.005, error=0.013
    >epoch=2874, lrate=0.005, error=0.013
    >epoch=2875, lrate=0.005, error=0.013
    >epoch=2876, lrate=0.005, error=0.013
    >epoch=2877, lrate=0.005, error=0.013
    >epoch=2878, lrate=0.005, error=0.013
    >epoch=2879, lrate=0.005, error=0.013
    >epoch=2880, lrate=0.005, error=0.013
    >epoch=2881, lrate=0.005, error=0.013
    >epoch=2882, lrate=0.005, error=0.013
    >epoch=2883, lrate=0.005, error=0.013
    >epoch=2884, lrate=0.005, error=0.013
    >epoch=2885, lrate=0.005, error=0.013
    >epoch=2886, lrate=0.005, error=0.013
    >epoch=2887, lrate=0.005, error=0.013
    >epoch=2888, lrate=0.005, error=0.013
    >epoch=2889, lrate=0.005, error=0.013
    >epoch=2890, lrate=0.005, error=0.013
    >epoch=2891, lrate=0.005, error=0.013
    >epoch=2892, lrate=0.005, error=0.013
    >epoch=2893, lrate=0.005, error=0.013
    >epoch=2894, lrate=0.005, error=0.013
    >epoch=2895, lrate=0.005, error=0.013
    >epoch=2896, lrate=0.005, error=0.013
    >epoch=2897, lrate=0.005, error=0.013
    >epoch=2898, lrate=0.005, error=0.013
    >epoch=2899, lrate=0.005, error=0.013
    >epoch=2900, lrate=0.005, error=0.013
    >epoch=2901, lrate=0.005, error=0.013
    >epoch=2902, lrate=0.005, error=0.013
    >epoch=2903, lrate=0.005, error=0.013
    >epoch=2904, lrate=0.005, error=0.013
    >epoch=2905, lrate=0.005, error=0.012
    >epoch=2906, lrate=0.005, error=0.012
    >epoch=2907, lrate=0.005, error=0.012
    >epoch=2908, lrate=0.005, error=0.012
    >epoch=2909, lrate=0.005, error=0.012
    >epoch=2910, lrate=0.005, error=0.012
    >epoch=2911, lrate=0.005, error=0.012
    >epoch=2912, lrate=0.005, error=0.012
    >epoch=2913, lrate=0.005, error=0.012
    >epoch=2914, lrate=0.005, error=0.012
    >epoch=2915, lrate=0.005, error=0.012
    >epoch=2916, lrate=0.005, error=0.012
    >epoch=2917, lrate=0.005, error=0.012
    >epoch=2918, lrate=0.005, error=0.012
    >epoch=2919, lrate=0.005, error=0.012
    >epoch=2920, lrate=0.005, error=0.012
    >epoch=2921, lrate=0.005, error=0.012
    >epoch=2922, lrate=0.005, error=0.012
    >epoch=2923, lrate=0.005, error=0.012
    >epoch=2924, lrate=0.005, error=0.012
    >epoch=2925, lrate=0.005, error=0.012
    >epoch=2926, lrate=0.005, error=0.012
    >epoch=2927, lrate=0.005, error=0.012
    >epoch=2928, lrate=0.005, error=0.012
    >epoch=2929, lrate=0.005, error=0.012
    >epoch=2930, lrate=0.005, error=0.012
    >epoch=2931, lrate=0.005, error=0.012
    >epoch=2932, lrate=0.005, error=0.012
    >epoch=2933, lrate=0.005, error=0.012
    >epoch=2934, lrate=0.005, error=0.012
    >epoch=2935, lrate=0.005, error=0.012
    >epoch=2936, lrate=0.005, error=0.012
    >epoch=2937, lrate=0.005, error=0.012
    >epoch=2938, lrate=0.005, error=0.012
    >epoch=2939, lrate=0.005, error=0.012
    >epoch=2940, lrate=0.005, error=0.012
    >epoch=2941, lrate=0.005, error=0.012
    >epoch=2942, lrate=0.005, error=0.012
    >epoch=2943, lrate=0.005, error=0.012
    >epoch=2944, lrate=0.005, error=0.012
    >epoch=2945, lrate=0.005, error=0.011
    >epoch=2946, lrate=0.005, error=0.011
    >epoch=2947, lrate=0.005, error=0.011
    >epoch=2948, lrate=0.005, error=0.011
    >epoch=2949, lrate=0.005, error=0.011
    >epoch=2950, lrate=0.005, error=0.011
    >epoch=2951, lrate=0.005, error=0.011
    >epoch=2952, lrate=0.005, error=0.011
    >epoch=2953, lrate=0.005, error=0.011
    >epoch=2954, lrate=0.005, error=0.011
    >epoch=2955, lrate=0.005, error=0.011
    >epoch=2956, lrate=0.005, error=0.011
    >epoch=2957, lrate=0.005, error=0.011
    >epoch=2958, lrate=0.005, error=0.011
    >epoch=2959, lrate=0.005, error=0.011
    >epoch=2960, lrate=0.005, error=0.011
    >epoch=2961, lrate=0.005, error=0.011
    >epoch=2962, lrate=0.005, error=0.011
    >epoch=2963, lrate=0.005, error=0.011
    >epoch=2964, lrate=0.005, error=0.011
    >epoch=2965, lrate=0.005, error=0.011
    >epoch=2966, lrate=0.005, error=0.011
    >epoch=2967, lrate=0.005, error=0.011
    >epoch=2968, lrate=0.005, error=0.011
    >epoch=2969, lrate=0.005, error=0.011
    >epoch=2970, lrate=0.005, error=0.011
    >epoch=2971, lrate=0.005, error=0.011
    >epoch=2972, lrate=0.005, error=0.011
    >epoch=2973, lrate=0.005, error=0.011
    >epoch=2974, lrate=0.005, error=0.011
    >epoch=2975, lrate=0.005, error=0.011
    >epoch=2976, lrate=0.005, error=0.011
    >epoch=2977, lrate=0.005, error=0.011
    >epoch=2978, lrate=0.005, error=0.011
    >epoch=2979, lrate=0.005, error=0.011
    >epoch=2980, lrate=0.005, error=0.011
    >epoch=2981, lrate=0.005, error=0.011
    >epoch=2982, lrate=0.005, error=0.011
    >epoch=2983, lrate=0.005, error=0.011
    >epoch=2984, lrate=0.005, error=0.011
    >epoch=2985, lrate=0.005, error=0.011
    >epoch=2986, lrate=0.005, error=0.011
    >epoch=2987, lrate=0.005, error=0.011
    >epoch=2988, lrate=0.005, error=0.011
    >epoch=2989, lrate=0.005, error=0.010
    >epoch=2990, lrate=0.005, error=0.010
    >epoch=2991, lrate=0.005, error=0.010
    >epoch=2992, lrate=0.005, error=0.010
    >epoch=2993, lrate=0.005, error=0.010
    >epoch=2994, lrate=0.005, error=0.010
    >epoch=2995, lrate=0.005, error=0.010
    >epoch=2996, lrate=0.005, error=0.010
    >epoch=2997, lrate=0.005, error=0.010
    >epoch=2998, lrate=0.005, error=0.010
    >epoch=2999, lrate=0.005, error=0.010
    >epoch=3000, lrate=0.005, error=0.010
    >epoch=3001, lrate=0.005, error=0.010
    >epoch=3002, lrate=0.005, error=0.010
    >epoch=3003, lrate=0.005, error=0.010
    >epoch=3004, lrate=0.005, error=0.010
    >epoch=3005, lrate=0.005, error=0.010
    >epoch=3006, lrate=0.005, error=0.010
    >epoch=3007, lrate=0.005, error=0.010
    >epoch=3008, lrate=0.005, error=0.010
    >epoch=3009, lrate=0.005, error=0.010
    >epoch=3010, lrate=0.005, error=0.010
    >epoch=3011, lrate=0.005, error=0.010
    >epoch=3012, lrate=0.005, error=0.010
    >epoch=3013, lrate=0.005, error=0.010
    >epoch=3014, lrate=0.005, error=0.010
    >epoch=3015, lrate=0.005, error=0.010
    >epoch=3016, lrate=0.005, error=0.010
    >epoch=3017, lrate=0.005, error=0.010
    >epoch=3018, lrate=0.005, error=0.010
    >epoch=3019, lrate=0.005, error=0.010
    >epoch=3020, lrate=0.005, error=0.010
    >epoch=3021, lrate=0.005, error=0.010
    >epoch=3022, lrate=0.005, error=0.010
    >epoch=3023, lrate=0.005, error=0.010
    >epoch=3024, lrate=0.005, error=0.010
    >epoch=3025, lrate=0.005, error=0.010
    >epoch=3026, lrate=0.005, error=0.010
    >epoch=3027, lrate=0.005, error=0.010
    >epoch=3028, lrate=0.005, error=0.010
    >epoch=3029, lrate=0.005, error=0.010
    >epoch=3030, lrate=0.005, error=0.010
    >epoch=3031, lrate=0.005, error=0.010
    >epoch=3032, lrate=0.005, error=0.010
    >epoch=3033, lrate=0.005, error=0.010
    >epoch=3034, lrate=0.005, error=0.010
    >epoch=3035, lrate=0.005, error=0.010
    >epoch=3036, lrate=0.005, error=0.010
    >epoch=3037, lrate=0.005, error=0.010
    >epoch=3038, lrate=0.005, error=0.009
    >epoch=3039, lrate=0.005, error=0.009
    >epoch=3040, lrate=0.005, error=0.009
    >epoch=3041, lrate=0.005, error=0.009
    >epoch=3042, lrate=0.005, error=0.009
    >epoch=3043, lrate=0.005, error=0.009
    >epoch=3044, lrate=0.005, error=0.009
    >epoch=3045, lrate=0.005, error=0.009
    >epoch=3046, lrate=0.005, error=0.009
    >epoch=3047, lrate=0.005, error=0.009
    >epoch=3048, lrate=0.005, error=0.009
    >epoch=3049, lrate=0.005, error=0.009
    >epoch=3050, lrate=0.005, error=0.009
    >epoch=3051, lrate=0.005, error=0.009
    >epoch=3052, lrate=0.005, error=0.009
    >epoch=3053, lrate=0.005, error=0.009
    >epoch=3054, lrate=0.005, error=0.009
    >epoch=3055, lrate=0.005, error=0.009
    >epoch=3056, lrate=0.005, error=0.009
    >epoch=3057, lrate=0.005, error=0.009
    >epoch=3058, lrate=0.005, error=0.009
    >epoch=3059, lrate=0.005, error=0.009
    >epoch=3060, lrate=0.005, error=0.009
    >epoch=3061, lrate=0.005, error=0.009
    >epoch=3062, lrate=0.005, error=0.009
    >epoch=3063, lrate=0.005, error=0.009
    >epoch=3064, lrate=0.005, error=0.009
    >epoch=3065, lrate=0.005, error=0.009
    >epoch=3066, lrate=0.005, error=0.009
    >epoch=3067, lrate=0.005, error=0.009
    >epoch=3068, lrate=0.005, error=0.009
    >epoch=3069, lrate=0.005, error=0.009
    >epoch=3070, lrate=0.005, error=0.009
    >epoch=3071, lrate=0.005, error=0.009
    >epoch=3072, lrate=0.005, error=0.009
    >epoch=3073, lrate=0.005, error=0.009
    >epoch=3074, lrate=0.005, error=0.009
    >epoch=3075, lrate=0.005, error=0.009
    >epoch=3076, lrate=0.005, error=0.009
    >epoch=3077, lrate=0.005, error=0.009
    >epoch=3078, lrate=0.005, error=0.009
    >epoch=3079, lrate=0.005, error=0.009
    >epoch=3080, lrate=0.005, error=0.009
    >epoch=3081, lrate=0.005, error=0.009
    >epoch=3082, lrate=0.005, error=0.009
    >epoch=3083, lrate=0.005, error=0.009
    >epoch=3084, lrate=0.005, error=0.009
    >epoch=3085, lrate=0.005, error=0.009
    >epoch=3086, lrate=0.005, error=0.009
    >epoch=3087, lrate=0.005, error=0.009
    >epoch=3088, lrate=0.005, error=0.009
    >epoch=3089, lrate=0.005, error=0.009
    >epoch=3090, lrate=0.005, error=0.009
    >epoch=3091, lrate=0.005, error=0.009
    >epoch=3092, lrate=0.005, error=0.008
    >epoch=3093, lrate=0.005, error=0.008
    >epoch=3094, lrate=0.005, error=0.008
    >epoch=3095, lrate=0.005, error=0.008
    >epoch=3096, lrate=0.005, error=0.008
    >epoch=3097, lrate=0.005, error=0.008
    >epoch=3098, lrate=0.005, error=0.008
    >epoch=3099, lrate=0.005, error=0.008
    >epoch=3100, lrate=0.005, error=0.008
    >epoch=3101, lrate=0.005, error=0.008
    >epoch=3102, lrate=0.005, error=0.008
    >epoch=3103, lrate=0.005, error=0.008
    >epoch=3104, lrate=0.005, error=0.008
    >epoch=3105, lrate=0.005, error=0.008
    >epoch=3106, lrate=0.005, error=0.008
    >epoch=3107, lrate=0.005, error=0.008
    >epoch=3108, lrate=0.005, error=0.008
    >epoch=3109, lrate=0.005, error=0.008
    >epoch=3110, lrate=0.005, error=0.008
    >epoch=3111, lrate=0.005, error=0.008
    >epoch=3112, lrate=0.005, error=0.008
    >epoch=3113, lrate=0.005, error=0.008
    >epoch=3114, lrate=0.005, error=0.008
    >epoch=3115, lrate=0.005, error=0.008
    >epoch=3116, lrate=0.005, error=0.008
    >epoch=3117, lrate=0.005, error=0.008
    >epoch=3118, lrate=0.005, error=0.008
    >epoch=3119, lrate=0.005, error=0.008
    >epoch=3120, lrate=0.005, error=0.008
    >epoch=3121, lrate=0.005, error=0.008
    >epoch=3122, lrate=0.005, error=0.008
    >epoch=3123, lrate=0.005, error=0.008
    >epoch=3124, lrate=0.005, error=0.008
    >epoch=3125, lrate=0.005, error=0.008
    >epoch=3126, lrate=0.005, error=0.008
    >epoch=3127, lrate=0.005, error=0.008
    >epoch=3128, lrate=0.005, error=0.008
    >epoch=3129, lrate=0.005, error=0.008
    >epoch=3130, lrate=0.005, error=0.008
    >epoch=3131, lrate=0.005, error=0.008
    >epoch=3132, lrate=0.005, error=0.008
    >epoch=3133, lrate=0.005, error=0.008
    >epoch=3134, lrate=0.005, error=0.008
    >epoch=3135, lrate=0.005, error=0.008
    >epoch=3136, lrate=0.005, error=0.008
    >epoch=3137, lrate=0.005, error=0.008
    >epoch=3138, lrate=0.005, error=0.008
    >epoch=3139, lrate=0.005, error=0.008
    >epoch=3140, lrate=0.005, error=0.008
    >epoch=3141, lrate=0.005, error=0.008
    >epoch=3142, lrate=0.005, error=0.008
    >epoch=3143, lrate=0.005, error=0.008
    >epoch=3144, lrate=0.005, error=0.008
    >epoch=3145, lrate=0.005, error=0.008
    >epoch=3146, lrate=0.005, error=0.008
    >epoch=3147, lrate=0.005, error=0.008
    >epoch=3148, lrate=0.005, error=0.008
    >epoch=3149, lrate=0.005, error=0.008
    >epoch=3150, lrate=0.005, error=0.008
    >epoch=3151, lrate=0.005, error=0.008
    >epoch=3152, lrate=0.005, error=0.007
    >epoch=3153, lrate=0.005, error=0.007
    >epoch=3154, lrate=0.005, error=0.007
    >epoch=3155, lrate=0.005, error=0.007
    >epoch=3156, lrate=0.005, error=0.007
    >epoch=3157, lrate=0.005, error=0.007
    >epoch=3158, lrate=0.005, error=0.007
    >epoch=3159, lrate=0.005, error=0.007
    >epoch=3160, lrate=0.005, error=0.007
    >epoch=3161, lrate=0.005, error=0.007
    >epoch=3162, lrate=0.005, error=0.007
    >epoch=3163, lrate=0.005, error=0.007
    >epoch=3164, lrate=0.005, error=0.007
    >epoch=3165, lrate=0.005, error=0.007
    >epoch=3166, lrate=0.005, error=0.007
    >epoch=3167, lrate=0.005, error=0.007
    >epoch=3168, lrate=0.005, error=0.007
    >epoch=3169, lrate=0.005, error=0.007
    >epoch=3170, lrate=0.005, error=0.007
    >epoch=3171, lrate=0.005, error=0.007
    >epoch=3172, lrate=0.005, error=0.007
    >epoch=3173, lrate=0.005, error=0.007
    >epoch=3174, lrate=0.005, error=0.007
    >epoch=3175, lrate=0.005, error=0.007
    >epoch=3176, lrate=0.005, error=0.007
    >epoch=3177, lrate=0.005, error=0.007
    >epoch=3178, lrate=0.005, error=0.007
    >epoch=3179, lrate=0.005, error=0.007
    >epoch=3180, lrate=0.005, error=0.007
    >epoch=3181, lrate=0.005, error=0.007
    >epoch=3182, lrate=0.005, error=0.007
    >epoch=3183, lrate=0.005, error=0.007
    >epoch=3184, lrate=0.005, error=0.007
    >epoch=3185, lrate=0.005, error=0.007
    >epoch=3186, lrate=0.005, error=0.007
    >epoch=3187, lrate=0.005, error=0.007
    >epoch=3188, lrate=0.005, error=0.007
    >epoch=3189, lrate=0.005, error=0.007
    >epoch=3190, lrate=0.005, error=0.007
    >epoch=3191, lrate=0.005, error=0.007
    >epoch=3192, lrate=0.005, error=0.007
    >epoch=3193, lrate=0.005, error=0.007
    >epoch=3194, lrate=0.005, error=0.007
    >epoch=3195, lrate=0.005, error=0.007
    >epoch=3196, lrate=0.005, error=0.007
    >epoch=3197, lrate=0.005, error=0.007
    >epoch=3198, lrate=0.005, error=0.007
    >epoch=3199, lrate=0.005, error=0.007
    >epoch=3200, lrate=0.005, error=0.007
    >epoch=3201, lrate=0.005, error=0.007
    >epoch=3202, lrate=0.005, error=0.007
    >epoch=3203, lrate=0.005, error=0.007
    >epoch=3204, lrate=0.005, error=0.007
    >epoch=3205, lrate=0.005, error=0.007
    >epoch=3206, lrate=0.005, error=0.007
    >epoch=3207, lrate=0.005, error=0.007
    >epoch=3208, lrate=0.005, error=0.007
    >epoch=3209, lrate=0.005, error=0.007
    >epoch=3210, lrate=0.005, error=0.007
    >epoch=3211, lrate=0.005, error=0.007
    >epoch=3212, lrate=0.005, error=0.007
    >epoch=3213, lrate=0.005, error=0.007
    >epoch=3214, lrate=0.005, error=0.007
    >epoch=3215, lrate=0.005, error=0.007
    >epoch=3216, lrate=0.005, error=0.007
    >epoch=3217, lrate=0.005, error=0.007
    >epoch=3218, lrate=0.005, error=0.007
    >epoch=3219, lrate=0.005, error=0.007
    >epoch=3220, lrate=0.005, error=0.007
    >epoch=3221, lrate=0.005, error=0.007
    >epoch=3222, lrate=0.005, error=0.006
    >epoch=3223, lrate=0.005, error=0.006
    >epoch=3224, lrate=0.005, error=0.006
    >epoch=3225, lrate=0.005, error=0.006
    >epoch=3226, lrate=0.005, error=0.006
    >epoch=3227, lrate=0.005, error=0.006
    >epoch=3228, lrate=0.005, error=0.006
    >epoch=3229, lrate=0.005, error=0.006
    >epoch=3230, lrate=0.005, error=0.006
    >epoch=3231, lrate=0.005, error=0.006
    >epoch=3232, lrate=0.005, error=0.006
    >epoch=3233, lrate=0.005, error=0.006
    >epoch=3234, lrate=0.005, error=0.006
    >epoch=3235, lrate=0.005, error=0.006
    >epoch=3236, lrate=0.005, error=0.006
    >epoch=3237, lrate=0.005, error=0.006
    >epoch=3238, lrate=0.005, error=0.006
    >epoch=3239, lrate=0.005, error=0.006
    >epoch=3240, lrate=0.005, error=0.006
    >epoch=3241, lrate=0.005, error=0.006
    >epoch=3242, lrate=0.005, error=0.006
    >epoch=3243, lrate=0.005, error=0.006
    >epoch=3244, lrate=0.005, error=0.006
    >epoch=3245, lrate=0.005, error=0.006
    >epoch=3246, lrate=0.005, error=0.006
    >epoch=3247, lrate=0.005, error=0.006
    >epoch=3248, lrate=0.005, error=0.006
    >epoch=3249, lrate=0.005, error=0.006
    >epoch=3250, lrate=0.005, error=0.006
    >epoch=3251, lrate=0.005, error=0.006
    >epoch=3252, lrate=0.005, error=0.006
    >epoch=3253, lrate=0.005, error=0.006
    >epoch=3254, lrate=0.005, error=0.006
    >epoch=3255, lrate=0.005, error=0.006
    >epoch=3256, lrate=0.005, error=0.006
    >epoch=3257, lrate=0.005, error=0.006
    >epoch=3258, lrate=0.005, error=0.006
    >epoch=3259, lrate=0.005, error=0.006
    >epoch=3260, lrate=0.005, error=0.006
    >epoch=3261, lrate=0.005, error=0.006
    >epoch=3262, lrate=0.005, error=0.006
    >epoch=3263, lrate=0.005, error=0.006
    >epoch=3264, lrate=0.005, error=0.006
    >epoch=3265, lrate=0.005, error=0.006
    >epoch=3266, lrate=0.005, error=0.006
    >epoch=3267, lrate=0.005, error=0.006
    >epoch=3268, lrate=0.005, error=0.006
    >epoch=3269, lrate=0.005, error=0.006
    >epoch=3270, lrate=0.005, error=0.006
    >epoch=3271, lrate=0.005, error=0.006
    >epoch=3272, lrate=0.005, error=0.006
    >epoch=3273, lrate=0.005, error=0.006
    >epoch=3274, lrate=0.005, error=0.006
    >epoch=3275, lrate=0.005, error=0.006
    >epoch=3276, lrate=0.005, error=0.006
    >epoch=3277, lrate=0.005, error=0.006
    >epoch=3278, lrate=0.005, error=0.006
    >epoch=3279, lrate=0.005, error=0.006
    >epoch=3280, lrate=0.005, error=0.006
    >epoch=3281, lrate=0.005, error=0.006
    >epoch=3282, lrate=0.005, error=0.006
    >epoch=3283, lrate=0.005, error=0.006
    >epoch=3284, lrate=0.005, error=0.006
    >epoch=3285, lrate=0.005, error=0.006
    >epoch=3286, lrate=0.005, error=0.006
    >epoch=3287, lrate=0.005, error=0.006
    >epoch=3288, lrate=0.005, error=0.006
    >epoch=3289, lrate=0.005, error=0.006
    >epoch=3290, lrate=0.005, error=0.006
    >epoch=3291, lrate=0.005, error=0.006
    >epoch=3292, lrate=0.005, error=0.006
    >epoch=3293, lrate=0.005, error=0.006
    >epoch=3294, lrate=0.005, error=0.006
    >epoch=3295, lrate=0.005, error=0.006
    >epoch=3296, lrate=0.005, error=0.006
    >epoch=3297, lrate=0.005, error=0.006
    >epoch=3298, lrate=0.005, error=0.006
    >epoch=3299, lrate=0.005, error=0.006
    >epoch=3300, lrate=0.005, error=0.006
    >epoch=3301, lrate=0.005, error=0.006
    >epoch=3302, lrate=0.005, error=0.005
    >epoch=3303, lrate=0.005, error=0.005
    >epoch=3304, lrate=0.005, error=0.005
    >epoch=3305, lrate=0.005, error=0.005
    >epoch=3306, lrate=0.005, error=0.005
    >epoch=3307, lrate=0.005, error=0.005
    >epoch=3308, lrate=0.005, error=0.005
    >epoch=3309, lrate=0.005, error=0.005
    >epoch=3310, lrate=0.005, error=0.005
    >epoch=3311, lrate=0.005, error=0.005
    >epoch=3312, lrate=0.005, error=0.005
    >epoch=3313, lrate=0.005, error=0.005
    >epoch=3314, lrate=0.005, error=0.005
    >epoch=3315, lrate=0.005, error=0.005
    >epoch=3316, lrate=0.005, error=0.005
    >epoch=3317, lrate=0.005, error=0.005
    >epoch=3318, lrate=0.005, error=0.005
    >epoch=3319, lrate=0.005, error=0.005
    >epoch=3320, lrate=0.005, error=0.005
    >epoch=3321, lrate=0.005, error=0.005
    >epoch=3322, lrate=0.005, error=0.005
    >epoch=3323, lrate=0.005, error=0.005
    >epoch=3324, lrate=0.005, error=0.005
    >epoch=3325, lrate=0.005, error=0.005
    >epoch=3326, lrate=0.005, error=0.005
    >epoch=3327, lrate=0.005, error=0.005
    >epoch=3328, lrate=0.005, error=0.005
    >epoch=3329, lrate=0.005, error=0.005
    >epoch=3330, lrate=0.005, error=0.005
    >epoch=3331, lrate=0.005, error=0.005
    >epoch=3332, lrate=0.005, error=0.005
    >epoch=3333, lrate=0.005, error=0.005
    >epoch=3334, lrate=0.005, error=0.005
    >epoch=3335, lrate=0.005, error=0.005
    >epoch=3336, lrate=0.005, error=0.005
    >epoch=3337, lrate=0.005, error=0.005
    >epoch=3338, lrate=0.005, error=0.005
    >epoch=3339, lrate=0.005, error=0.005
    >epoch=3340, lrate=0.005, error=0.005
    >epoch=3341, lrate=0.005, error=0.005
    >epoch=3342, lrate=0.005, error=0.005
    >epoch=3343, lrate=0.005, error=0.005
    >epoch=3344, lrate=0.005, error=0.005
    >epoch=3345, lrate=0.005, error=0.005
    >epoch=3346, lrate=0.005, error=0.005
    >epoch=3347, lrate=0.005, error=0.005
    >epoch=3348, lrate=0.005, error=0.005
    >epoch=3349, lrate=0.005, error=0.005
    >epoch=3350, lrate=0.005, error=0.005
    >epoch=3351, lrate=0.005, error=0.005
    >epoch=3352, lrate=0.005, error=0.005
    >epoch=3353, lrate=0.005, error=0.005
    >epoch=3354, lrate=0.005, error=0.005
    >epoch=3355, lrate=0.005, error=0.005
    >epoch=3356, lrate=0.005, error=0.005
    >epoch=3357, lrate=0.005, error=0.005
    >epoch=3358, lrate=0.005, error=0.005
    >epoch=3359, lrate=0.005, error=0.005
    >epoch=3360, lrate=0.005, error=0.005
    >epoch=3361, lrate=0.005, error=0.005
    >epoch=3362, lrate=0.005, error=0.005
    >epoch=3363, lrate=0.005, error=0.005
    >epoch=3364, lrate=0.005, error=0.005
    >epoch=3365, lrate=0.005, error=0.005
    >epoch=3366, lrate=0.005, error=0.005
    >epoch=3367, lrate=0.005, error=0.005
    >epoch=3368, lrate=0.005, error=0.005
    >epoch=3369, lrate=0.005, error=0.005
    >epoch=3370, lrate=0.005, error=0.005
    >epoch=3371, lrate=0.005, error=0.005
    >epoch=3372, lrate=0.005, error=0.005
    >epoch=3373, lrate=0.005, error=0.005
    >epoch=3374, lrate=0.005, error=0.005
    >epoch=3375, lrate=0.005, error=0.005
    >epoch=3376, lrate=0.005, error=0.005
    >epoch=3377, lrate=0.005, error=0.005
    >epoch=3378, lrate=0.005, error=0.005
    >epoch=3379, lrate=0.005, error=0.005
    >epoch=3380, lrate=0.005, error=0.005
    >epoch=3381, lrate=0.005, error=0.005
    >epoch=3382, lrate=0.005, error=0.005
    >epoch=3383, lrate=0.005, error=0.005
    >epoch=3384, lrate=0.005, error=0.005
    >epoch=3385, lrate=0.005, error=0.005
    >epoch=3386, lrate=0.005, error=0.005
    >epoch=3387, lrate=0.005, error=0.005
    >epoch=3388, lrate=0.005, error=0.005
    >epoch=3389, lrate=0.005, error=0.005
    >epoch=3390, lrate=0.005, error=0.005
    >epoch=3391, lrate=0.005, error=0.005
    >epoch=3392, lrate=0.005, error=0.005
    >epoch=3393, lrate=0.005, error=0.005
    >epoch=3394, lrate=0.005, error=0.005
    >epoch=3395, lrate=0.005, error=0.005
    >epoch=3396, lrate=0.005, error=0.005
    >epoch=3397, lrate=0.005, error=0.005
    >epoch=3398, lrate=0.005, error=0.005
    >epoch=3399, lrate=0.005, error=0.005
    >epoch=3400, lrate=0.005, error=0.004
    >epoch=3401, lrate=0.005, error=0.004
    >epoch=3402, lrate=0.005, error=0.004
    >epoch=3403, lrate=0.005, error=0.004
    >epoch=3404, lrate=0.005, error=0.004
    >epoch=3405, lrate=0.005, error=0.004
    >epoch=3406, lrate=0.005, error=0.004
    >epoch=3407, lrate=0.005, error=0.004
    >epoch=3408, lrate=0.005, error=0.004
    >epoch=3409, lrate=0.005, error=0.004
    >epoch=3410, lrate=0.005, error=0.004
    >epoch=3411, lrate=0.005, error=0.004
    >epoch=3412, lrate=0.005, error=0.004
    >epoch=3413, lrate=0.005, error=0.004
    >epoch=3414, lrate=0.005, error=0.004
    >epoch=3415, lrate=0.005, error=0.004
    >epoch=3416, lrate=0.005, error=0.004
    >epoch=3417, lrate=0.005, error=0.004
    >epoch=3418, lrate=0.005, error=0.004
    >epoch=3419, lrate=0.005, error=0.004
    >epoch=3420, lrate=0.005, error=0.004
    >epoch=3421, lrate=0.005, error=0.004
    >epoch=3422, lrate=0.005, error=0.004
    >epoch=3423, lrate=0.005, error=0.004
    >epoch=3424, lrate=0.005, error=0.004
    >epoch=3425, lrate=0.005, error=0.004
    >epoch=3426, lrate=0.005, error=0.004
    >epoch=3427, lrate=0.005, error=0.004
    >epoch=3428, lrate=0.005, error=0.004
    >epoch=3429, lrate=0.005, error=0.004
    >epoch=3430, lrate=0.005, error=0.004
    >epoch=3431, lrate=0.005, error=0.004
    >epoch=3432, lrate=0.005, error=0.004
    >epoch=3433, lrate=0.005, error=0.004
    >epoch=3434, lrate=0.005, error=0.004
    >epoch=3435, lrate=0.005, error=0.004
    >epoch=3436, lrate=0.005, error=0.004
    >epoch=3437, lrate=0.005, error=0.004
    >epoch=3438, lrate=0.005, error=0.004
    >epoch=3439, lrate=0.005, error=0.004
    >epoch=3440, lrate=0.005, error=0.004
    >epoch=3441, lrate=0.005, error=0.004
    >epoch=3442, lrate=0.005, error=0.004
    >epoch=3443, lrate=0.005, error=0.004
    >epoch=3444, lrate=0.005, error=0.004
    >epoch=3445, lrate=0.005, error=0.004
    >epoch=3446, lrate=0.005, error=0.004
    >epoch=3447, lrate=0.005, error=0.004
    >epoch=3448, lrate=0.005, error=0.004
    >epoch=3449, lrate=0.005, error=0.004
    >epoch=3450, lrate=0.005, error=0.004
    >epoch=3451, lrate=0.005, error=0.004
    >epoch=3452, lrate=0.005, error=0.004
    >epoch=3453, lrate=0.005, error=0.004
    >epoch=3454, lrate=0.005, error=0.004
    >epoch=3455, lrate=0.005, error=0.004
    >epoch=3456, lrate=0.005, error=0.004
    >epoch=3457, lrate=0.005, error=0.004
    >epoch=3458, lrate=0.005, error=0.004
    >epoch=3459, lrate=0.005, error=0.004
    >epoch=3460, lrate=0.005, error=0.004
    >epoch=3461, lrate=0.005, error=0.004
    >epoch=3462, lrate=0.005, error=0.004
    >epoch=3463, lrate=0.005, error=0.004
    >epoch=3464, lrate=0.005, error=0.004
    >epoch=3465, lrate=0.005, error=0.004
    >epoch=3466, lrate=0.005, error=0.004
    >epoch=3467, lrate=0.005, error=0.004
    >epoch=3468, lrate=0.005, error=0.004
    >epoch=3469, lrate=0.005, error=0.004
    >epoch=3470, lrate=0.005, error=0.004
    >epoch=3471, lrate=0.005, error=0.004
    >epoch=3472, lrate=0.005, error=0.004
    >epoch=3473, lrate=0.005, error=0.004
    >epoch=3474, lrate=0.005, error=0.004
    >epoch=3475, lrate=0.005, error=0.004
    >epoch=3476, lrate=0.005, error=0.004
    >epoch=3477, lrate=0.005, error=0.004
    >epoch=3478, lrate=0.005, error=0.004
    >epoch=3479, lrate=0.005, error=0.004
    >epoch=3480, lrate=0.005, error=0.004
    >epoch=3481, lrate=0.005, error=0.004
    >epoch=3482, lrate=0.005, error=0.004
    >epoch=3483, lrate=0.005, error=0.004
    >epoch=3484, lrate=0.005, error=0.004
    >epoch=3485, lrate=0.005, error=0.004
    >epoch=3486, lrate=0.005, error=0.004
    >epoch=3487, lrate=0.005, error=0.004
    >epoch=3488, lrate=0.005, error=0.004
    >epoch=3489, lrate=0.005, error=0.004
    >epoch=3490, lrate=0.005, error=0.004
    >epoch=3491, lrate=0.005, error=0.004
    >epoch=3492, lrate=0.005, error=0.004
    >epoch=3493, lrate=0.005, error=0.004
    >epoch=3494, lrate=0.005, error=0.004
    >epoch=3495, lrate=0.005, error=0.004
    >epoch=3496, lrate=0.005, error=0.004
    >epoch=3497, lrate=0.005, error=0.004
    >epoch=3498, lrate=0.005, error=0.004
    >epoch=3499, lrate=0.005, error=0.004
    >epoch=3500, lrate=0.005, error=0.004
    >epoch=3501, lrate=0.005, error=0.004
    >epoch=3502, lrate=0.005, error=0.004
    >epoch=3503, lrate=0.005, error=0.004
    >epoch=3504, lrate=0.005, error=0.004
    >epoch=3505, lrate=0.005, error=0.004
    >epoch=3506, lrate=0.005, error=0.004
    >epoch=3507, lrate=0.005, error=0.004
    >epoch=3508, lrate=0.005, error=0.004
    >epoch=3509, lrate=0.005, error=0.004
    >epoch=3510, lrate=0.005, error=0.004
    >epoch=3511, lrate=0.005, error=0.004
    >epoch=3512, lrate=0.005, error=0.004
    >epoch=3513, lrate=0.005, error=0.004
    >epoch=3514, lrate=0.005, error=0.004
    >epoch=3515, lrate=0.005, error=0.004
    >epoch=3516, lrate=0.005, error=0.004
    >epoch=3517, lrate=0.005, error=0.004
    >epoch=3518, lrate=0.005, error=0.004
    >epoch=3519, lrate=0.005, error=0.004
    >epoch=3520, lrate=0.005, error=0.004
    >epoch=3521, lrate=0.005, error=0.003
    >epoch=3522, lrate=0.005, error=0.003
    >epoch=3523, lrate=0.005, error=0.003
    >epoch=3524, lrate=0.005, error=0.003
    >epoch=3525, lrate=0.005, error=0.003
    >epoch=3526, lrate=0.005, error=0.003
    >epoch=3527, lrate=0.005, error=0.003
    >epoch=3528, lrate=0.005, error=0.003
    >epoch=3529, lrate=0.005, error=0.003
    >epoch=3530, lrate=0.005, error=0.003
    >epoch=3531, lrate=0.005, error=0.003
    >epoch=3532, lrate=0.005, error=0.003
    >epoch=3533, lrate=0.005, error=0.003
    >epoch=3534, lrate=0.005, error=0.003
    >epoch=3535, lrate=0.005, error=0.003
    >epoch=3536, lrate=0.005, error=0.003
    >epoch=3537, lrate=0.005, error=0.003
    >epoch=3538, lrate=0.005, error=0.003
    >epoch=3539, lrate=0.005, error=0.003
    >epoch=3540, lrate=0.005, error=0.003
    >epoch=3541, lrate=0.005, error=0.003
    >epoch=3542, lrate=0.005, error=0.003
    >epoch=3543, lrate=0.005, error=0.003
    >epoch=3544, lrate=0.005, error=0.003
    >epoch=3545, lrate=0.005, error=0.003
    >epoch=3546, lrate=0.005, error=0.003
    >epoch=3547, lrate=0.005, error=0.003
    >epoch=3548, lrate=0.005, error=0.003
    >epoch=3549, lrate=0.005, error=0.003
    >epoch=3550, lrate=0.005, error=0.003
    >epoch=3551, lrate=0.005, error=0.003
    >epoch=3552, lrate=0.005, error=0.003
    >epoch=3553, lrate=0.005, error=0.003
    >epoch=3554, lrate=0.005, error=0.003
    >epoch=3555, lrate=0.005, error=0.003
    >epoch=3556, lrate=0.005, error=0.003
    >epoch=3557, lrate=0.005, error=0.003
    >epoch=3558, lrate=0.005, error=0.003
    >epoch=3559, lrate=0.005, error=0.003
    >epoch=3560, lrate=0.005, error=0.003
    >epoch=3561, lrate=0.005, error=0.003
    >epoch=3562, lrate=0.005, error=0.003
    >epoch=3563, lrate=0.005, error=0.003
    >epoch=3564, lrate=0.005, error=0.003
    >epoch=3565, lrate=0.005, error=0.003
    >epoch=3566, lrate=0.005, error=0.003
    >epoch=3567, lrate=0.005, error=0.003
    >epoch=3568, lrate=0.005, error=0.003
    >epoch=3569, lrate=0.005, error=0.003
    >epoch=3570, lrate=0.005, error=0.003
    >epoch=3571, lrate=0.005, error=0.003
    >epoch=3572, lrate=0.005, error=0.003
    >epoch=3573, lrate=0.005, error=0.003
    >epoch=3574, lrate=0.005, error=0.003
    >epoch=3575, lrate=0.005, error=0.003
    >epoch=3576, lrate=0.005, error=0.003
    >epoch=3577, lrate=0.005, error=0.003
    >epoch=3578, lrate=0.005, error=0.003
    >epoch=3579, lrate=0.005, error=0.003
    >epoch=3580, lrate=0.005, error=0.003
    >epoch=3581, lrate=0.005, error=0.003
    >epoch=3582, lrate=0.005, error=0.003
    >epoch=3583, lrate=0.005, error=0.003
    >epoch=3584, lrate=0.005, error=0.003
    >epoch=3585, lrate=0.005, error=0.003
    >epoch=3586, lrate=0.005, error=0.003
    >epoch=3587, lrate=0.005, error=0.003
    >epoch=3588, lrate=0.005, error=0.003
    >epoch=3589, lrate=0.005, error=0.003
    >epoch=3590, lrate=0.005, error=0.003
    >epoch=3591, lrate=0.005, error=0.003
    >epoch=3592, lrate=0.005, error=0.003
    >epoch=3593, lrate=0.005, error=0.003
    >epoch=3594, lrate=0.005, error=0.003
    >epoch=3595, lrate=0.005, error=0.003
    >epoch=3596, lrate=0.005, error=0.003
    >epoch=3597, lrate=0.005, error=0.003
    >epoch=3598, lrate=0.005, error=0.003
    >epoch=3599, lrate=0.005, error=0.003
    >epoch=3600, lrate=0.005, error=0.003
    >epoch=3601, lrate=0.005, error=0.003
    >epoch=3602, lrate=0.005, error=0.003
    >epoch=3603, lrate=0.005, error=0.003
    >epoch=3604, lrate=0.005, error=0.003
    >epoch=3605, lrate=0.005, error=0.003
    >epoch=3606, lrate=0.005, error=0.003
    >epoch=3607, lrate=0.005, error=0.003
    >epoch=3608, lrate=0.005, error=0.003
    >epoch=3609, lrate=0.005, error=0.003
    >epoch=3610, lrate=0.005, error=0.003
    >epoch=3611, lrate=0.005, error=0.003
    >epoch=3612, lrate=0.005, error=0.003
    >epoch=3613, lrate=0.005, error=0.003
    >epoch=3614, lrate=0.005, error=0.003
    >epoch=3615, lrate=0.005, error=0.003
    >epoch=3616, lrate=0.005, error=0.003
    >epoch=3617, lrate=0.005, error=0.003
    >epoch=3618, lrate=0.005, error=0.003
    >epoch=3619, lrate=0.005, error=0.003
    >epoch=3620, lrate=0.005, error=0.003
    >epoch=3621, lrate=0.005, error=0.003
    >epoch=3622, lrate=0.005, error=0.003
    >epoch=3623, lrate=0.005, error=0.003
    >epoch=3624, lrate=0.005, error=0.003
    >epoch=3625, lrate=0.005, error=0.003
    >epoch=3626, lrate=0.005, error=0.003
    >epoch=3627, lrate=0.005, error=0.003
    >epoch=3628, lrate=0.005, error=0.003
    >epoch=3629, lrate=0.005, error=0.003
    >epoch=3630, lrate=0.005, error=0.003
    >epoch=3631, lrate=0.005, error=0.003
    >epoch=3632, lrate=0.005, error=0.003
    >epoch=3633, lrate=0.005, error=0.003
    >epoch=3634, lrate=0.005, error=0.003
    >epoch=3635, lrate=0.005, error=0.003
    >epoch=3636, lrate=0.005, error=0.003
    >epoch=3637, lrate=0.005, error=0.003
    >epoch=3638, lrate=0.005, error=0.003
    >epoch=3639, lrate=0.005, error=0.003
    >epoch=3640, lrate=0.005, error=0.003
    >epoch=3641, lrate=0.005, error=0.003
    >epoch=3642, lrate=0.005, error=0.003
    >epoch=3643, lrate=0.005, error=0.003
    >epoch=3644, lrate=0.005, error=0.003
    >epoch=3645, lrate=0.005, error=0.003
    >epoch=3646, lrate=0.005, error=0.003
    >epoch=3647, lrate=0.005, error=0.003
    >epoch=3648, lrate=0.005, error=0.003
    >epoch=3649, lrate=0.005, error=0.003
    >epoch=3650, lrate=0.005, error=0.003
    >epoch=3651, lrate=0.005, error=0.003
    >epoch=3652, lrate=0.005, error=0.003
    >epoch=3653, lrate=0.005, error=0.003
    >epoch=3654, lrate=0.005, error=0.003
    >epoch=3655, lrate=0.005, error=0.003
    >epoch=3656, lrate=0.005, error=0.003
    >epoch=3657, lrate=0.005, error=0.003
    >epoch=3658, lrate=0.005, error=0.003
    >epoch=3659, lrate=0.005, error=0.003
    >epoch=3660, lrate=0.005, error=0.003
    >epoch=3661, lrate=0.005, error=0.003
    >epoch=3662, lrate=0.005, error=0.003
    >epoch=3663, lrate=0.005, error=0.003
    >epoch=3664, lrate=0.005, error=0.003
    >epoch=3665, lrate=0.005, error=0.003
    >epoch=3666, lrate=0.005, error=0.003
    >epoch=3667, lrate=0.005, error=0.003
    >epoch=3668, lrate=0.005, error=0.003
    >epoch=3669, lrate=0.005, error=0.003
    >epoch=3670, lrate=0.005, error=0.003
    >epoch=3671, lrate=0.005, error=0.003
    >epoch=3672, lrate=0.005, error=0.003
    >epoch=3673, lrate=0.005, error=0.003
    >epoch=3674, lrate=0.005, error=0.003
    >epoch=3675, lrate=0.005, error=0.003
    >epoch=3676, lrate=0.005, error=0.003
    >epoch=3677, lrate=0.005, error=0.003
    >epoch=3678, lrate=0.005, error=0.003
    >epoch=3679, lrate=0.005, error=0.003
    >epoch=3680, lrate=0.005, error=0.003
    >epoch=3681, lrate=0.005, error=0.003
    >epoch=3682, lrate=0.005, error=0.003
    >epoch=3683, lrate=0.005, error=0.003
    >epoch=3684, lrate=0.005, error=0.002
    >epoch=3685, lrate=0.005, error=0.002
    >epoch=3686, lrate=0.005, error=0.002
    >epoch=3687, lrate=0.005, error=0.002
    >epoch=3688, lrate=0.005, error=0.002
    >epoch=3689, lrate=0.005, error=0.002
    >epoch=3690, lrate=0.005, error=0.002
    >epoch=3691, lrate=0.005, error=0.002
    >epoch=3692, lrate=0.005, error=0.002
    >epoch=3693, lrate=0.005, error=0.002
    >epoch=3694, lrate=0.005, error=0.002
    >epoch=3695, lrate=0.005, error=0.002
    >epoch=3696, lrate=0.005, error=0.002
    >epoch=3697, lrate=0.005, error=0.002
    >epoch=3698, lrate=0.005, error=0.002
    >epoch=3699, lrate=0.005, error=0.002
    >epoch=3700, lrate=0.005, error=0.002
    >epoch=3701, lrate=0.005, error=0.002
    >epoch=3702, lrate=0.005, error=0.002
    >epoch=3703, lrate=0.005, error=0.002
    >epoch=3704, lrate=0.005, error=0.002
    >epoch=3705, lrate=0.005, error=0.002
    >epoch=3706, lrate=0.005, error=0.002
    >epoch=3707, lrate=0.005, error=0.002
    >epoch=3708, lrate=0.005, error=0.002
    >epoch=3709, lrate=0.005, error=0.002
    >epoch=3710, lrate=0.005, error=0.002
    >epoch=3711, lrate=0.005, error=0.002
    >epoch=3712, lrate=0.005, error=0.002
    >epoch=3713, lrate=0.005, error=0.002
    >epoch=3714, lrate=0.005, error=0.002
    >epoch=3715, lrate=0.005, error=0.002
    >epoch=3716, lrate=0.005, error=0.002
    >epoch=3717, lrate=0.005, error=0.002
    >epoch=3718, lrate=0.005, error=0.002
    >epoch=3719, lrate=0.005, error=0.002
    >epoch=3720, lrate=0.005, error=0.002
    >epoch=3721, lrate=0.005, error=0.002
    >epoch=3722, lrate=0.005, error=0.002
    >epoch=3723, lrate=0.005, error=0.002
    >epoch=3724, lrate=0.005, error=0.002
    >epoch=3725, lrate=0.005, error=0.002
    >epoch=3726, lrate=0.005, error=0.002
    >epoch=3727, lrate=0.005, error=0.002
    >epoch=3728, lrate=0.005, error=0.002
    >epoch=3729, lrate=0.005, error=0.002
    >epoch=3730, lrate=0.005, error=0.002
    >epoch=3731, lrate=0.005, error=0.002
    >epoch=3732, lrate=0.005, error=0.002
    >epoch=3733, lrate=0.005, error=0.002
    >epoch=3734, lrate=0.005, error=0.002
    >epoch=3735, lrate=0.005, error=0.002
    >epoch=3736, lrate=0.005, error=0.002
    >epoch=3737, lrate=0.005, error=0.002
    >epoch=3738, lrate=0.005, error=0.002
    >epoch=3739, lrate=0.005, error=0.002
    >epoch=3740, lrate=0.005, error=0.002
    >epoch=3741, lrate=0.005, error=0.002
    >epoch=3742, lrate=0.005, error=0.002
    >epoch=3743, lrate=0.005, error=0.002
    >epoch=3744, lrate=0.005, error=0.002
    >epoch=3745, lrate=0.005, error=0.002
    >epoch=3746, lrate=0.005, error=0.002
    >epoch=3747, lrate=0.005, error=0.002
    >epoch=3748, lrate=0.005, error=0.002
    >epoch=3749, lrate=0.005, error=0.002
    >epoch=3750, lrate=0.005, error=0.002
    >epoch=3751, lrate=0.005, error=0.002
    >epoch=3752, lrate=0.005, error=0.002
    >epoch=3753, lrate=0.005, error=0.002
    >epoch=3754, lrate=0.005, error=0.002
    >epoch=3755, lrate=0.005, error=0.002
    >epoch=3756, lrate=0.005, error=0.002
    >epoch=3757, lrate=0.005, error=0.002
    >epoch=3758, lrate=0.005, error=0.002
    >epoch=3759, lrate=0.005, error=0.002
    >epoch=3760, lrate=0.005, error=0.002
    >epoch=3761, lrate=0.005, error=0.002
    >epoch=3762, lrate=0.005, error=0.002
    >epoch=3763, lrate=0.005, error=0.002
    >epoch=3764, lrate=0.005, error=0.002
    >epoch=3765, lrate=0.005, error=0.002
    >epoch=3766, lrate=0.005, error=0.002
    >epoch=3767, lrate=0.005, error=0.002
    >epoch=3768, lrate=0.005, error=0.002
    >epoch=3769, lrate=0.005, error=0.002
    >epoch=3770, lrate=0.005, error=0.002
    >epoch=3771, lrate=0.005, error=0.002
    >epoch=3772, lrate=0.005, error=0.002
    >epoch=3773, lrate=0.005, error=0.002
    >epoch=3774, lrate=0.005, error=0.002
    >epoch=3775, lrate=0.005, error=0.002
    >epoch=3776, lrate=0.005, error=0.002
    >epoch=3777, lrate=0.005, error=0.002
    >epoch=3778, lrate=0.005, error=0.002
    >epoch=3779, lrate=0.005, error=0.002
    >epoch=3780, lrate=0.005, error=0.002
    >epoch=3781, lrate=0.005, error=0.002
    >epoch=3782, lrate=0.005, error=0.002
    >epoch=3783, lrate=0.005, error=0.002
    >epoch=3784, lrate=0.005, error=0.002
    >epoch=3785, lrate=0.005, error=0.002
    >epoch=3786, lrate=0.005, error=0.002
    >epoch=3787, lrate=0.005, error=0.002
    >epoch=3788, lrate=0.005, error=0.002
    >epoch=3789, lrate=0.005, error=0.002
    >epoch=3790, lrate=0.005, error=0.002
    >epoch=3791, lrate=0.005, error=0.002
    >epoch=3792, lrate=0.005, error=0.002
    >epoch=3793, lrate=0.005, error=0.002
    >epoch=3794, lrate=0.005, error=0.002
    >epoch=3795, lrate=0.005, error=0.002
    >epoch=3796, lrate=0.005, error=0.002
    >epoch=3797, lrate=0.005, error=0.002
    >epoch=3798, lrate=0.005, error=0.002
    >epoch=3799, lrate=0.005, error=0.002
    >epoch=3800, lrate=0.005, error=0.002
    >epoch=3801, lrate=0.005, error=0.002
    >epoch=3802, lrate=0.005, error=0.002
    >epoch=3803, lrate=0.005, error=0.002
    >epoch=3804, lrate=0.005, error=0.002
    >epoch=3805, lrate=0.005, error=0.002
    >epoch=3806, lrate=0.005, error=0.002
    >epoch=3807, lrate=0.005, error=0.002
    >epoch=3808, lrate=0.005, error=0.002
    >epoch=3809, lrate=0.005, error=0.002
    >epoch=3810, lrate=0.005, error=0.002
    >epoch=3811, lrate=0.005, error=0.002
    >epoch=3812, lrate=0.005, error=0.002
    >epoch=3813, lrate=0.005, error=0.002
    >epoch=3814, lrate=0.005, error=0.002
    >epoch=3815, lrate=0.005, error=0.002
    >epoch=3816, lrate=0.005, error=0.002
    >epoch=3817, lrate=0.005, error=0.002
    >epoch=3818, lrate=0.005, error=0.002
    >epoch=3819, lrate=0.005, error=0.002
    >epoch=3820, lrate=0.005, error=0.002
    >epoch=3821, lrate=0.005, error=0.002
    >epoch=3822, lrate=0.005, error=0.002
    >epoch=3823, lrate=0.005, error=0.002
    >epoch=3824, lrate=0.005, error=0.002
    >epoch=3825, lrate=0.005, error=0.002
    >epoch=3826, lrate=0.005, error=0.002
    >epoch=3827, lrate=0.005, error=0.002
    >epoch=3828, lrate=0.005, error=0.002
    >epoch=3829, lrate=0.005, error=0.002
    >epoch=3830, lrate=0.005, error=0.002
    >epoch=3831, lrate=0.005, error=0.002
    >epoch=3832, lrate=0.005, error=0.002
    >epoch=3833, lrate=0.005, error=0.002
    >epoch=3834, lrate=0.005, error=0.002
    >epoch=3835, lrate=0.005, error=0.002
    >epoch=3836, lrate=0.005, error=0.002
    >epoch=3837, lrate=0.005, error=0.002
    >epoch=3838, lrate=0.005, error=0.002
    >epoch=3839, lrate=0.005, error=0.002
    >epoch=3840, lrate=0.005, error=0.002
    >epoch=3841, lrate=0.005, error=0.002
    >epoch=3842, lrate=0.005, error=0.002
    >epoch=3843, lrate=0.005, error=0.002
    >epoch=3844, lrate=0.005, error=0.002
    >epoch=3845, lrate=0.005, error=0.002
    >epoch=3846, lrate=0.005, error=0.002
    >epoch=3847, lrate=0.005, error=0.002
    >epoch=3848, lrate=0.005, error=0.002
    >epoch=3849, lrate=0.005, error=0.002
    >epoch=3850, lrate=0.005, error=0.002
    >epoch=3851, lrate=0.005, error=0.002
    >epoch=3852, lrate=0.005, error=0.002
    >epoch=3853, lrate=0.005, error=0.002
    >epoch=3854, lrate=0.005, error=0.002
    >epoch=3855, lrate=0.005, error=0.002
    >epoch=3856, lrate=0.005, error=0.002
    >epoch=3857, lrate=0.005, error=0.002
    >epoch=3858, lrate=0.005, error=0.002
    >epoch=3859, lrate=0.005, error=0.002
    >epoch=3860, lrate=0.005, error=0.002
    >epoch=3861, lrate=0.005, error=0.002
    >epoch=3862, lrate=0.005, error=0.002
    >epoch=3863, lrate=0.005, error=0.002
    >epoch=3864, lrate=0.005, error=0.002
    >epoch=3865, lrate=0.005, error=0.002
    >epoch=3866, lrate=0.005, error=0.002
    >epoch=3867, lrate=0.005, error=0.002
    >epoch=3868, lrate=0.005, error=0.002
    >epoch=3869, lrate=0.005, error=0.002
    >epoch=3870, lrate=0.005, error=0.002
    >epoch=3871, lrate=0.005, error=0.002
    >epoch=3872, lrate=0.005, error=0.002
    >epoch=3873, lrate=0.005, error=0.002
    >epoch=3874, lrate=0.005, error=0.002
    >epoch=3875, lrate=0.005, error=0.002
    >epoch=3876, lrate=0.005, error=0.002
    >epoch=3877, lrate=0.005, error=0.002
    >epoch=3878, lrate=0.005, error=0.002
    >epoch=3879, lrate=0.005, error=0.002
    >epoch=3880, lrate=0.005, error=0.002
    >epoch=3881, lrate=0.005, error=0.002
    >epoch=3882, lrate=0.005, error=0.002
    >epoch=3883, lrate=0.005, error=0.002
    >epoch=3884, lrate=0.005, error=0.002
    >epoch=3885, lrate=0.005, error=0.002
    >epoch=3886, lrate=0.005, error=0.002
    >epoch=3887, lrate=0.005, error=0.002
    >epoch=3888, lrate=0.005, error=0.002
    >epoch=3889, lrate=0.005, error=0.002
    >epoch=3890, lrate=0.005, error=0.002
    >epoch=3891, lrate=0.005, error=0.002
    >epoch=3892, lrate=0.005, error=0.002
    >epoch=3893, lrate=0.005, error=0.002
    >epoch=3894, lrate=0.005, error=0.002
    >epoch=3895, lrate=0.005, error=0.002
    >epoch=3896, lrate=0.005, error=0.002
    >epoch=3897, lrate=0.005, error=0.002
    >epoch=3898, lrate=0.005, error=0.002
    >epoch=3899, lrate=0.005, error=0.002
    >epoch=3900, lrate=0.005, error=0.002
    >epoch=3901, lrate=0.005, error=0.002
    >epoch=3902, lrate=0.005, error=0.002
    >epoch=3903, lrate=0.005, error=0.002
    >epoch=3904, lrate=0.005, error=0.002
    >epoch=3905, lrate=0.005, error=0.002
    >epoch=3906, lrate=0.005, error=0.002
    >epoch=3907, lrate=0.005, error=0.002
    >epoch=3908, lrate=0.005, error=0.002
    >epoch=3909, lrate=0.005, error=0.002
    >epoch=3910, lrate=0.005, error=0.002
    >epoch=3911, lrate=0.005, error=0.002
    >epoch=3912, lrate=0.005, error=0.002
    >epoch=3913, lrate=0.005, error=0.002
    >epoch=3914, lrate=0.005, error=0.002
    >epoch=3915, lrate=0.005, error=0.002
    >epoch=3916, lrate=0.005, error=0.002
    >epoch=3917, lrate=0.005, error=0.002
    >epoch=3918, lrate=0.005, error=0.002
    >epoch=3919, lrate=0.005, error=0.002
    >epoch=3920, lrate=0.005, error=0.002
    >epoch=3921, lrate=0.005, error=0.002
    >epoch=3922, lrate=0.005, error=0.002
    >epoch=3923, lrate=0.005, error=0.002
    >epoch=3924, lrate=0.005, error=0.002
    >epoch=3925, lrate=0.005, error=0.002
    >epoch=3926, lrate=0.005, error=0.002
    >epoch=3927, lrate=0.005, error=0.002
    >epoch=3928, lrate=0.005, error=0.002
    >epoch=3929, lrate=0.005, error=0.002
    >epoch=3930, lrate=0.005, error=0.002
    >epoch=3931, lrate=0.005, error=0.002
    >epoch=3932, lrate=0.005, error=0.001
    >epoch=3933, lrate=0.005, error=0.001
    >epoch=3934, lrate=0.005, error=0.001
    >epoch=3935, lrate=0.005, error=0.001
    >epoch=3936, lrate=0.005, error=0.001
    >epoch=3937, lrate=0.005, error=0.001
    >epoch=3938, lrate=0.005, error=0.001
    >epoch=3939, lrate=0.005, error=0.001
    >epoch=3940, lrate=0.005, error=0.001
    >epoch=3941, lrate=0.005, error=0.001
    >epoch=3942, lrate=0.005, error=0.001
    >epoch=3943, lrate=0.005, error=0.001
    >epoch=3944, lrate=0.005, error=0.001
    >epoch=3945, lrate=0.005, error=0.001
    >epoch=3946, lrate=0.005, error=0.001
    >epoch=3947, lrate=0.005, error=0.001
    >epoch=3948, lrate=0.005, error=0.001
    >epoch=3949, lrate=0.005, error=0.001
    >epoch=3950, lrate=0.005, error=0.001
    >epoch=3951, lrate=0.005, error=0.001
    >epoch=3952, lrate=0.005, error=0.001
    >epoch=3953, lrate=0.005, error=0.001
    >epoch=3954, lrate=0.005, error=0.001
    >epoch=3955, lrate=0.005, error=0.001
    >epoch=3956, lrate=0.005, error=0.001
    >epoch=3957, lrate=0.005, error=0.001
    >epoch=3958, lrate=0.005, error=0.001
    >epoch=3959, lrate=0.005, error=0.001
    >epoch=3960, lrate=0.005, error=0.001
    >epoch=3961, lrate=0.005, error=0.001
    >epoch=3962, lrate=0.005, error=0.001
    >epoch=3963, lrate=0.005, error=0.001
    >epoch=3964, lrate=0.005, error=0.001
    >epoch=3965, lrate=0.005, error=0.001
    >epoch=3966, lrate=0.005, error=0.001
    >epoch=3967, lrate=0.005, error=0.001
    >epoch=3968, lrate=0.005, error=0.001
    >epoch=3969, lrate=0.005, error=0.001
    >epoch=3970, lrate=0.005, error=0.001
    >epoch=3971, lrate=0.005, error=0.001
    >epoch=3972, lrate=0.005, error=0.001
    >epoch=3973, lrate=0.005, error=0.001
    >epoch=3974, lrate=0.005, error=0.001
    >epoch=3975, lrate=0.005, error=0.001
    >epoch=3976, lrate=0.005, error=0.001
    >epoch=3977, lrate=0.005, error=0.001
    >epoch=3978, lrate=0.005, error=0.001
    >epoch=3979, lrate=0.005, error=0.001
    >epoch=3980, lrate=0.005, error=0.001
    >epoch=3981, lrate=0.005, error=0.001
    >epoch=3982, lrate=0.005, error=0.001
    >epoch=3983, lrate=0.005, error=0.001
    >epoch=3984, lrate=0.005, error=0.001
    >epoch=3985, lrate=0.005, error=0.001
    >epoch=3986, lrate=0.005, error=0.001
    >epoch=3987, lrate=0.005, error=0.001
    >epoch=3988, lrate=0.005, error=0.001
    >epoch=3989, lrate=0.005, error=0.001
    >epoch=3990, lrate=0.005, error=0.001
    >epoch=3991, lrate=0.005, error=0.001
    >epoch=3992, lrate=0.005, error=0.001
    >epoch=3993, lrate=0.005, error=0.001
    >epoch=3994, lrate=0.005, error=0.001
    >epoch=3995, lrate=0.005, error=0.001
    >epoch=3996, lrate=0.005, error=0.001
    >epoch=3997, lrate=0.005, error=0.001
    >epoch=3998, lrate=0.005, error=0.001
    >epoch=3999, lrate=0.005, error=0.001
    >epoch=4000, lrate=0.005, error=0.001
    >epoch=4001, lrate=0.005, error=0.001
    >epoch=4002, lrate=0.005, error=0.001
    >epoch=4003, lrate=0.005, error=0.001
    >epoch=4004, lrate=0.005, error=0.001
    >epoch=4005, lrate=0.005, error=0.001
    >epoch=4006, lrate=0.005, error=0.001
    >epoch=4007, lrate=0.005, error=0.001
    >epoch=4008, lrate=0.005, error=0.001
    >epoch=4009, lrate=0.005, error=0.001
    >epoch=4010, lrate=0.005, error=0.001
    >epoch=4011, lrate=0.005, error=0.001
    >epoch=4012, lrate=0.005, error=0.001
    >epoch=4013, lrate=0.005, error=0.001
    >epoch=4014, lrate=0.005, error=0.001
    >epoch=4015, lrate=0.005, error=0.001
    >epoch=4016, lrate=0.005, error=0.001
    >epoch=4017, lrate=0.005, error=0.001
    >epoch=4018, lrate=0.005, error=0.001
    >epoch=4019, lrate=0.005, error=0.001
    >epoch=4020, lrate=0.005, error=0.001
    >epoch=4021, lrate=0.005, error=0.001
    >epoch=4022, lrate=0.005, error=0.001
    >epoch=4023, lrate=0.005, error=0.001
    >epoch=4024, lrate=0.005, error=0.001
    >epoch=4025, lrate=0.005, error=0.001
    >epoch=4026, lrate=0.005, error=0.001
    >epoch=4027, lrate=0.005, error=0.001
    >epoch=4028, lrate=0.005, error=0.001
    >epoch=4029, lrate=0.005, error=0.001
    >epoch=4030, lrate=0.005, error=0.001
    >epoch=4031, lrate=0.005, error=0.001
    >epoch=4032, lrate=0.005, error=0.001
    >epoch=4033, lrate=0.005, error=0.001
    >epoch=4034, lrate=0.005, error=0.001
    >epoch=4035, lrate=0.005, error=0.001
    >epoch=4036, lrate=0.005, error=0.001
    >epoch=4037, lrate=0.005, error=0.001
    >epoch=4038, lrate=0.005, error=0.001
    >epoch=4039, lrate=0.005, error=0.001
    >epoch=4040, lrate=0.005, error=0.001
    >epoch=4041, lrate=0.005, error=0.001
    >epoch=4042, lrate=0.005, error=0.001
    >epoch=4043, lrate=0.005, error=0.001
    >epoch=4044, lrate=0.005, error=0.001
    >epoch=4045, lrate=0.005, error=0.001
    >epoch=4046, lrate=0.005, error=0.001
    >epoch=4047, lrate=0.005, error=0.001
    >epoch=4048, lrate=0.005, error=0.001
    >epoch=4049, lrate=0.005, error=0.001
    >epoch=4050, lrate=0.005, error=0.001
    >epoch=4051, lrate=0.005, error=0.001
    >epoch=4052, lrate=0.005, error=0.001
    >epoch=4053, lrate=0.005, error=0.001
    >epoch=4054, lrate=0.005, error=0.001
    >epoch=4055, lrate=0.005, error=0.001
    >epoch=4056, lrate=0.005, error=0.001
    >epoch=4057, lrate=0.005, error=0.001
    >epoch=4058, lrate=0.005, error=0.001
    >epoch=4059, lrate=0.005, error=0.001
    >epoch=4060, lrate=0.005, error=0.001
    >epoch=4061, lrate=0.005, error=0.001
    >epoch=4062, lrate=0.005, error=0.001
    >epoch=4063, lrate=0.005, error=0.001
    >epoch=4064, lrate=0.005, error=0.001
    >epoch=4065, lrate=0.005, error=0.001
    >epoch=4066, lrate=0.005, error=0.001
    >epoch=4067, lrate=0.005, error=0.001
    >epoch=4068, lrate=0.005, error=0.001
    >epoch=4069, lrate=0.005, error=0.001
    >epoch=4070, lrate=0.005, error=0.001
    >epoch=4071, lrate=0.005, error=0.001
    >epoch=4072, lrate=0.005, error=0.001
    >epoch=4073, lrate=0.005, error=0.001
    >epoch=4074, lrate=0.005, error=0.001
    >epoch=4075, lrate=0.005, error=0.001
    >epoch=4076, lrate=0.005, error=0.001
    >epoch=4077, lrate=0.005, error=0.001
    >epoch=4078, lrate=0.005, error=0.001
    >epoch=4079, lrate=0.005, error=0.001
    >epoch=4080, lrate=0.005, error=0.001
    >epoch=4081, lrate=0.005, error=0.001
    >epoch=4082, lrate=0.005, error=0.001
    >epoch=4083, lrate=0.005, error=0.001
    >epoch=4084, lrate=0.005, error=0.001
    >epoch=4085, lrate=0.005, error=0.001
    >epoch=4086, lrate=0.005, error=0.001
    >epoch=4087, lrate=0.005, error=0.001
    >epoch=4088, lrate=0.005, error=0.001
    >epoch=4089, lrate=0.005, error=0.001
    >epoch=4090, lrate=0.005, error=0.001
    >epoch=4091, lrate=0.005, error=0.001
    >epoch=4092, lrate=0.005, error=0.001
    >epoch=4093, lrate=0.005, error=0.001
    >epoch=4094, lrate=0.005, error=0.001
    >epoch=4095, lrate=0.005, error=0.001
    >epoch=4096, lrate=0.005, error=0.001
    >epoch=4097, lrate=0.005, error=0.001
    >epoch=4098, lrate=0.005, error=0.001
    >epoch=4099, lrate=0.005, error=0.001
    >epoch=4100, lrate=0.005, error=0.001
    >epoch=4101, lrate=0.005, error=0.001
    >epoch=4102, lrate=0.005, error=0.001
    >epoch=4103, lrate=0.005, error=0.001
    >epoch=4104, lrate=0.005, error=0.001
    >epoch=4105, lrate=0.005, error=0.001
    >epoch=4106, lrate=0.005, error=0.001
    >epoch=4107, lrate=0.005, error=0.001
    >epoch=4108, lrate=0.005, error=0.001
    >epoch=4109, lrate=0.005, error=0.001
    >epoch=4110, lrate=0.005, error=0.001
    >epoch=4111, lrate=0.005, error=0.001
    >epoch=4112, lrate=0.005, error=0.001
    >epoch=4113, lrate=0.005, error=0.001
    >epoch=4114, lrate=0.005, error=0.001
    >epoch=4115, lrate=0.005, error=0.001
    >epoch=4116, lrate=0.005, error=0.001
    >epoch=4117, lrate=0.005, error=0.001
    >epoch=4118, lrate=0.005, error=0.001
    >epoch=4119, lrate=0.005, error=0.001
    >epoch=4120, lrate=0.005, error=0.001
    >epoch=4121, lrate=0.005, error=0.001
    >epoch=4122, lrate=0.005, error=0.001
    >epoch=4123, lrate=0.005, error=0.001
    >epoch=4124, lrate=0.005, error=0.001
    >epoch=4125, lrate=0.005, error=0.001
    >epoch=4126, lrate=0.005, error=0.001
    >epoch=4127, lrate=0.005, error=0.001
    >epoch=4128, lrate=0.005, error=0.001
    >epoch=4129, lrate=0.005, error=0.001
    >epoch=4130, lrate=0.005, error=0.001
    >epoch=4131, lrate=0.005, error=0.001
    >epoch=4132, lrate=0.005, error=0.001
    >epoch=4133, lrate=0.005, error=0.001
    >epoch=4134, lrate=0.005, error=0.001
    >epoch=4135, lrate=0.005, error=0.001
    >epoch=4136, lrate=0.005, error=0.001
    >epoch=4137, lrate=0.005, error=0.001
    >epoch=4138, lrate=0.005, error=0.001
    >epoch=4139, lrate=0.005, error=0.001
    >epoch=4140, lrate=0.005, error=0.001
    >epoch=4141, lrate=0.005, error=0.001
    >epoch=4142, lrate=0.005, error=0.001
    >epoch=4143, lrate=0.005, error=0.001
    >epoch=4144, lrate=0.005, error=0.001
    >epoch=4145, lrate=0.005, error=0.001
    >epoch=4146, lrate=0.005, error=0.001
    >epoch=4147, lrate=0.005, error=0.001
    >epoch=4148, lrate=0.005, error=0.001
    >epoch=4149, lrate=0.005, error=0.001
    >epoch=4150, lrate=0.005, error=0.001
    >epoch=4151, lrate=0.005, error=0.001
    >epoch=4152, lrate=0.005, error=0.001
    >epoch=4153, lrate=0.005, error=0.001
    >epoch=4154, lrate=0.005, error=0.001
    >epoch=4155, lrate=0.005, error=0.001
    >epoch=4156, lrate=0.005, error=0.001
    >epoch=4157, lrate=0.005, error=0.001
    >epoch=4158, lrate=0.005, error=0.001
    >epoch=4159, lrate=0.005, error=0.001
    >epoch=4160, lrate=0.005, error=0.001
    >epoch=4161, lrate=0.005, error=0.001
    >epoch=4162, lrate=0.005, error=0.001
    >epoch=4163, lrate=0.005, error=0.001
    >epoch=4164, lrate=0.005, error=0.001
    >epoch=4165, lrate=0.005, error=0.001
    >epoch=4166, lrate=0.005, error=0.001
    >epoch=4167, lrate=0.005, error=0.001
    >epoch=4168, lrate=0.005, error=0.001
    >epoch=4169, lrate=0.005, error=0.001
    >epoch=4170, lrate=0.005, error=0.001
    >epoch=4171, lrate=0.005, error=0.001
    >epoch=4172, lrate=0.005, error=0.001
    >epoch=4173, lrate=0.005, error=0.001
    >epoch=4174, lrate=0.005, error=0.001
    >epoch=4175, lrate=0.005, error=0.001
    >epoch=4176, lrate=0.005, error=0.001
    >epoch=4177, lrate=0.005, error=0.001
    >epoch=4178, lrate=0.005, error=0.001
    >epoch=4179, lrate=0.005, error=0.001
    >epoch=4180, lrate=0.005, error=0.001
    >epoch=4181, lrate=0.005, error=0.001
    >epoch=4182, lrate=0.005, error=0.001
    >epoch=4183, lrate=0.005, error=0.001
    >epoch=4184, lrate=0.005, error=0.001
    >epoch=4185, lrate=0.005, error=0.001
    >epoch=4186, lrate=0.005, error=0.001
    >epoch=4187, lrate=0.005, error=0.001
    >epoch=4188, lrate=0.005, error=0.001
    >epoch=4189, lrate=0.005, error=0.001
    >epoch=4190, lrate=0.005, error=0.001
    >epoch=4191, lrate=0.005, error=0.001
    >epoch=4192, lrate=0.005, error=0.001
    >epoch=4193, lrate=0.005, error=0.001
    >epoch=4194, lrate=0.005, error=0.001
    >epoch=4195, lrate=0.005, error=0.001
    >epoch=4196, lrate=0.005, error=0.001
    >epoch=4197, lrate=0.005, error=0.001
    >epoch=4198, lrate=0.005, error=0.001
    >epoch=4199, lrate=0.005, error=0.001
    >epoch=4200, lrate=0.005, error=0.001
    >epoch=4201, lrate=0.005, error=0.001
    >epoch=4202, lrate=0.005, error=0.001
    >epoch=4203, lrate=0.005, error=0.001
    >epoch=4204, lrate=0.005, error=0.001
    >epoch=4205, lrate=0.005, error=0.001
    >epoch=4206, lrate=0.005, error=0.001
    >epoch=4207, lrate=0.005, error=0.001
    >epoch=4208, lrate=0.005, error=0.001
    >epoch=4209, lrate=0.005, error=0.001
    >epoch=4210, lrate=0.005, error=0.001
    >epoch=4211, lrate=0.005, error=0.001
    >epoch=4212, lrate=0.005, error=0.001
    >epoch=4213, lrate=0.005, error=0.001
    >epoch=4214, lrate=0.005, error=0.001
    >epoch=4215, lrate=0.005, error=0.001
    >epoch=4216, lrate=0.005, error=0.001
    >epoch=4217, lrate=0.005, error=0.001
    >epoch=4218, lrate=0.005, error=0.001
    >epoch=4219, lrate=0.005, error=0.001
    >epoch=4220, lrate=0.005, error=0.001
    >epoch=4221, lrate=0.005, error=0.001
    >epoch=4222, lrate=0.005, error=0.001
    >epoch=4223, lrate=0.005, error=0.001
    >epoch=4224, lrate=0.005, error=0.001
    >epoch=4225, lrate=0.005, error=0.001
    >epoch=4226, lrate=0.005, error=0.001
    >epoch=4227, lrate=0.005, error=0.001
    >epoch=4228, lrate=0.005, error=0.001
    >epoch=4229, lrate=0.005, error=0.001
    >epoch=4230, lrate=0.005, error=0.001
    >epoch=4231, lrate=0.005, error=0.001
    >epoch=4232, lrate=0.005, error=0.001
    >epoch=4233, lrate=0.005, error=0.001
    >epoch=4234, lrate=0.005, error=0.001
    >epoch=4235, lrate=0.005, error=0.001
    >epoch=4236, lrate=0.005, error=0.001
    >epoch=4237, lrate=0.005, error=0.001
    >epoch=4238, lrate=0.005, error=0.001
    >epoch=4239, lrate=0.005, error=0.001
    >epoch=4240, lrate=0.005, error=0.001
    >epoch=4241, lrate=0.005, error=0.001
    >epoch=4242, lrate=0.005, error=0.001
    >epoch=4243, lrate=0.005, error=0.001
    >epoch=4244, lrate=0.005, error=0.001
    >epoch=4245, lrate=0.005, error=0.001
    >epoch=4246, lrate=0.005, error=0.001
    >epoch=4247, lrate=0.005, error=0.001
    >epoch=4248, lrate=0.005, error=0.001
    >epoch=4249, lrate=0.005, error=0.001
    >epoch=4250, lrate=0.005, error=0.001
    >epoch=4251, lrate=0.005, error=0.001
    >epoch=4252, lrate=0.005, error=0.001
    >epoch=4253, lrate=0.005, error=0.001
    >epoch=4254, lrate=0.005, error=0.001
    >epoch=4255, lrate=0.005, error=0.001
    >epoch=4256, lrate=0.005, error=0.001
    >epoch=4257, lrate=0.005, error=0.001
    >epoch=4258, lrate=0.005, error=0.001
    >epoch=4259, lrate=0.005, error=0.001
    >epoch=4260, lrate=0.005, error=0.001
    >epoch=4261, lrate=0.005, error=0.001
    >epoch=4262, lrate=0.005, error=0.001
    >epoch=4263, lrate=0.005, error=0.001
    >epoch=4264, lrate=0.005, error=0.001
    >epoch=4265, lrate=0.005, error=0.001
    >epoch=4266, lrate=0.005, error=0.001
    >epoch=4267, lrate=0.005, error=0.001
    >epoch=4268, lrate=0.005, error=0.001
    >epoch=4269, lrate=0.005, error=0.001
    >epoch=4270, lrate=0.005, error=0.001
    >epoch=4271, lrate=0.005, error=0.001
    >epoch=4272, lrate=0.005, error=0.001
    >epoch=4273, lrate=0.005, error=0.001
    >epoch=4274, lrate=0.005, error=0.001
    >epoch=4275, lrate=0.005, error=0.001
    >epoch=4276, lrate=0.005, error=0.001
    >epoch=4277, lrate=0.005, error=0.001
    >epoch=4278, lrate=0.005, error=0.001
    >epoch=4279, lrate=0.005, error=0.001
    >epoch=4280, lrate=0.005, error=0.001
    >epoch=4281, lrate=0.005, error=0.001
    >epoch=4282, lrate=0.005, error=0.001
    >epoch=4283, lrate=0.005, error=0.001
    >epoch=4284, lrate=0.005, error=0.001
    >epoch=4285, lrate=0.005, error=0.001
    >epoch=4286, lrate=0.005, error=0.001
    >epoch=4287, lrate=0.005, error=0.001
    >epoch=4288, lrate=0.005, error=0.001
    >epoch=4289, lrate=0.005, error=0.001
    >epoch=4290, lrate=0.005, error=0.001
    >epoch=4291, lrate=0.005, error=0.001
    >epoch=4292, lrate=0.005, error=0.001
    >epoch=4293, lrate=0.005, error=0.001
    >epoch=4294, lrate=0.005, error=0.001
    >epoch=4295, lrate=0.005, error=0.001
    >epoch=4296, lrate=0.005, error=0.001
    >epoch=4297, lrate=0.005, error=0.001
    >epoch=4298, lrate=0.005, error=0.001
    >epoch=4299, lrate=0.005, error=0.001
    >epoch=4300, lrate=0.005, error=0.001
    >epoch=4301, lrate=0.005, error=0.001
    >epoch=4302, lrate=0.005, error=0.001
    >epoch=4303, lrate=0.005, error=0.001
    >epoch=4304, lrate=0.005, error=0.001
    >epoch=4305, lrate=0.005, error=0.001
    >epoch=4306, lrate=0.005, error=0.001
    >epoch=4307, lrate=0.005, error=0.001
    >epoch=4308, lrate=0.005, error=0.001
    >epoch=4309, lrate=0.005, error=0.001
    >epoch=4310, lrate=0.005, error=0.001
    >epoch=4311, lrate=0.005, error=0.001
    >epoch=4312, lrate=0.005, error=0.001
    >epoch=4313, lrate=0.005, error=0.001
    >epoch=4314, lrate=0.005, error=0.001
    >epoch=4315, lrate=0.005, error=0.001
    >epoch=4316, lrate=0.005, error=0.001
    >epoch=4317, lrate=0.005, error=0.001
    >epoch=4318, lrate=0.005, error=0.001
    >epoch=4319, lrate=0.005, error=0.001
    >epoch=4320, lrate=0.005, error=0.001
    >epoch=4321, lrate=0.005, error=0.001
    >epoch=4322, lrate=0.005, error=0.001
    >epoch=4323, lrate=0.005, error=0.001
    >epoch=4324, lrate=0.005, error=0.001
    >epoch=4325, lrate=0.005, error=0.001
    >epoch=4326, lrate=0.005, error=0.001
    >epoch=4327, lrate=0.005, error=0.001
    >epoch=4328, lrate=0.005, error=0.001
    >epoch=4329, lrate=0.005, error=0.001
    >epoch=4330, lrate=0.005, error=0.001
    >epoch=4331, lrate=0.005, error=0.001
    >epoch=4332, lrate=0.005, error=0.001
    >epoch=4333, lrate=0.005, error=0.001
    >epoch=4334, lrate=0.005, error=0.001
    >epoch=4335, lrate=0.005, error=0.001
    >epoch=4336, lrate=0.005, error=0.001
    >epoch=4337, lrate=0.005, error=0.001
    >epoch=4338, lrate=0.005, error=0.001
    >epoch=4339, lrate=0.005, error=0.001
    >epoch=4340, lrate=0.005, error=0.001
    >epoch=4341, lrate=0.005, error=0.001
    >epoch=4342, lrate=0.005, error=0.001
    >epoch=4343, lrate=0.005, error=0.001
    >epoch=4344, lrate=0.005, error=0.001
    >epoch=4345, lrate=0.005, error=0.001
    >epoch=4346, lrate=0.005, error=0.001
    >epoch=4347, lrate=0.005, error=0.001
    >epoch=4348, lrate=0.005, error=0.001
    >epoch=4349, lrate=0.005, error=0.001
    >epoch=4350, lrate=0.005, error=0.001
    >epoch=4351, lrate=0.005, error=0.001
    >epoch=4352, lrate=0.005, error=0.001
    >epoch=4353, lrate=0.005, error=0.001
    >epoch=4354, lrate=0.005, error=0.001
    >epoch=4355, lrate=0.005, error=0.001
    >epoch=4356, lrate=0.005, error=0.001
    >epoch=4357, lrate=0.005, error=0.001
    >epoch=4358, lrate=0.005, error=0.001
    >epoch=4359, lrate=0.005, error=0.001
    >epoch=4360, lrate=0.005, error=0.001
    >epoch=4361, lrate=0.005, error=0.001
    >epoch=4362, lrate=0.005, error=0.001
    >epoch=4363, lrate=0.005, error=0.001
    >epoch=4364, lrate=0.005, error=0.001
    >epoch=4365, lrate=0.005, error=0.001
    >epoch=4366, lrate=0.005, error=0.001
    >epoch=4367, lrate=0.005, error=0.001
    >epoch=4368, lrate=0.005, error=0.001
    >epoch=4369, lrate=0.005, error=0.001
    >epoch=4370, lrate=0.005, error=0.001
    >epoch=4371, lrate=0.005, error=0.001
    >epoch=4372, lrate=0.005, error=0.001
    >epoch=4373, lrate=0.005, error=0.001
    >epoch=4374, lrate=0.005, error=0.001
    >epoch=4375, lrate=0.005, error=0.001
    >epoch=4376, lrate=0.005, error=0.001
    >epoch=4377, lrate=0.005, error=0.001
    >epoch=4378, lrate=0.005, error=0.001
    >epoch=4379, lrate=0.005, error=0.001
    >epoch=4380, lrate=0.005, error=0.001
    >epoch=4381, lrate=0.005, error=0.001
    >epoch=4382, lrate=0.005, error=0.001
    >epoch=4383, lrate=0.005, error=0.001
    >epoch=4384, lrate=0.005, error=0.001
    >epoch=4385, lrate=0.005, error=0.001
    >epoch=4386, lrate=0.005, error=0.001
    >epoch=4387, lrate=0.005, error=0.001
    >epoch=4388, lrate=0.005, error=0.001
    >epoch=4389, lrate=0.005, error=0.001
    >epoch=4390, lrate=0.005, error=0.001
    >epoch=4391, lrate=0.005, error=0.001
    >epoch=4392, lrate=0.005, error=0.001
    >epoch=4393, lrate=0.005, error=0.001
    >epoch=4394, lrate=0.005, error=0.001
    >epoch=4395, lrate=0.005, error=0.001
    >epoch=4396, lrate=0.005, error=0.001
    >epoch=4397, lrate=0.005, error=0.001
    >epoch=4398, lrate=0.005, error=0.001
    >epoch=4399, lrate=0.005, error=0.001
    >epoch=4400, lrate=0.005, error=0.001
    >epoch=4401, lrate=0.005, error=0.001
    >epoch=4402, lrate=0.005, error=0.001
    >epoch=4403, lrate=0.005, error=0.001
    >epoch=4404, lrate=0.005, error=0.001
    >epoch=4405, lrate=0.005, error=0.001
    >epoch=4406, lrate=0.005, error=0.001
    >epoch=4407, lrate=0.005, error=0.001
    >epoch=4408, lrate=0.005, error=0.001
    >epoch=4409, lrate=0.005, error=0.001
    >epoch=4410, lrate=0.005, error=0.001
    >epoch=4411, lrate=0.005, error=0.001
    >epoch=4412, lrate=0.005, error=0.001
    >epoch=4413, lrate=0.005, error=0.001
    >epoch=4414, lrate=0.005, error=0.001
    >epoch=4415, lrate=0.005, error=0.001
    >epoch=4416, lrate=0.005, error=0.001
    >epoch=4417, lrate=0.005, error=0.001
    >epoch=4418, lrate=0.005, error=0.001
    >epoch=4419, lrate=0.005, error=0.001
    >epoch=4420, lrate=0.005, error=0.001
    >epoch=4421, lrate=0.005, error=0.001
    >epoch=4422, lrate=0.005, error=0.001
    >epoch=4423, lrate=0.005, error=0.001
    >epoch=4424, lrate=0.005, error=0.001
    >epoch=4425, lrate=0.005, error=0.001
    >epoch=4426, lrate=0.005, error=0.001
    >epoch=4427, lrate=0.005, error=0.001
    >epoch=4428, lrate=0.005, error=0.001
    >epoch=4429, lrate=0.005, error=0.001
    >epoch=4430, lrate=0.005, error=0.001
    >epoch=4431, lrate=0.005, error=0.001
    >epoch=4432, lrate=0.005, error=0.001
    >epoch=4433, lrate=0.005, error=0.001
    >epoch=4434, lrate=0.005, error=0.001
    >epoch=4435, lrate=0.005, error=0.001
    >epoch=4436, lrate=0.005, error=0.001
    >epoch=4437, lrate=0.005, error=0.001
    >epoch=4438, lrate=0.005, error=0.001
    >epoch=4439, lrate=0.005, error=0.001
    >epoch=4440, lrate=0.005, error=0.001
    >epoch=4441, lrate=0.005, error=0.001
    >epoch=4442, lrate=0.005, error=0.001
    >epoch=4443, lrate=0.005, error=0.001
    >epoch=4444, lrate=0.005, error=0.001
    >epoch=4445, lrate=0.005, error=0.001
    >epoch=4446, lrate=0.005, error=0.001
    >epoch=4447, lrate=0.005, error=0.001
    >epoch=4448, lrate=0.005, error=0.001
    >epoch=4449, lrate=0.005, error=0.001
    >epoch=4450, lrate=0.005, error=0.001
    >epoch=4451, lrate=0.005, error=0.001
    >epoch=4452, lrate=0.005, error=0.001
    >epoch=4453, lrate=0.005, error=0.001
    >epoch=4454, lrate=0.005, error=0.001
    >epoch=4455, lrate=0.005, error=0.001
    >epoch=4456, lrate=0.005, error=0.001
    >epoch=4457, lrate=0.005, error=0.001
    >epoch=4458, lrate=0.005, error=0.001
    >epoch=4459, lrate=0.005, error=0.001
    >epoch=4460, lrate=0.005, error=0.001
    >epoch=4461, lrate=0.005, error=0.001
    >epoch=4462, lrate=0.005, error=0.001
    >epoch=4463, lrate=0.005, error=0.001
    >epoch=4464, lrate=0.005, error=0.000
    >epoch=4465, lrate=0.005, error=0.000
    >epoch=4466, lrate=0.005, error=0.000
    >epoch=4467, lrate=0.005, error=0.000
    >epoch=4468, lrate=0.005, error=0.000
    >epoch=4469, lrate=0.005, error=0.000
    >epoch=4470, lrate=0.005, error=0.000
    >epoch=4471, lrate=0.005, error=0.000
    >epoch=4472, lrate=0.005, error=0.000
    >epoch=4473, lrate=0.005, error=0.000
    >epoch=4474, lrate=0.005, error=0.000
    >epoch=4475, lrate=0.005, error=0.000
    >epoch=4476, lrate=0.005, error=0.000
    >epoch=4477, lrate=0.005, error=0.000
    >epoch=4478, lrate=0.005, error=0.000
    >epoch=4479, lrate=0.005, error=0.000
    >epoch=4480, lrate=0.005, error=0.000
    >epoch=4481, lrate=0.005, error=0.000
    >epoch=4482, lrate=0.005, error=0.000
    >epoch=4483, lrate=0.005, error=0.000
    >epoch=4484, lrate=0.005, error=0.000
    >epoch=4485, lrate=0.005, error=0.000
    >epoch=4486, lrate=0.005, error=0.000
    >epoch=4487, lrate=0.005, error=0.000
    >epoch=4488, lrate=0.005, error=0.000
    >epoch=4489, lrate=0.005, error=0.000
    >epoch=4490, lrate=0.005, error=0.000
    >epoch=4491, lrate=0.005, error=0.000
    >epoch=4492, lrate=0.005, error=0.000
    >epoch=4493, lrate=0.005, error=0.000
    >epoch=4494, lrate=0.005, error=0.000
    >epoch=4495, lrate=0.005, error=0.000
    >epoch=4496, lrate=0.005, error=0.000
    >epoch=4497, lrate=0.005, error=0.000
    >epoch=4498, lrate=0.005, error=0.000
    >epoch=4499, lrate=0.005, error=0.000
    >epoch=4500, lrate=0.005, error=0.000
    >epoch=4501, lrate=0.005, error=0.000
    >epoch=4502, lrate=0.005, error=0.000
    >epoch=4503, lrate=0.005, error=0.000
    >epoch=4504, lrate=0.005, error=0.000
    >epoch=4505, lrate=0.005, error=0.000
    >epoch=4506, lrate=0.005, error=0.000
    >epoch=4507, lrate=0.005, error=0.000
    >epoch=4508, lrate=0.005, error=0.000
    >epoch=4509, lrate=0.005, error=0.000
    >epoch=4510, lrate=0.005, error=0.000
    >epoch=4511, lrate=0.005, error=0.000
    >epoch=4512, lrate=0.005, error=0.000
    >epoch=4513, lrate=0.005, error=0.000
    >epoch=4514, lrate=0.005, error=0.000
    >epoch=4515, lrate=0.005, error=0.000
    >epoch=4516, lrate=0.005, error=0.000
    >epoch=4517, lrate=0.005, error=0.000
    >epoch=4518, lrate=0.005, error=0.000
    >epoch=4519, lrate=0.005, error=0.000
    >epoch=4520, lrate=0.005, error=0.000
    >epoch=4521, lrate=0.005, error=0.000
    >epoch=4522, lrate=0.005, error=0.000
    >epoch=4523, lrate=0.005, error=0.000
    >epoch=4524, lrate=0.005, error=0.000
    >epoch=4525, lrate=0.005, error=0.000
    >epoch=4526, lrate=0.005, error=0.000
    >epoch=4527, lrate=0.005, error=0.000
    >epoch=4528, lrate=0.005, error=0.000
    >epoch=4529, lrate=0.005, error=0.000
    >epoch=4530, lrate=0.005, error=0.000
    >epoch=4531, lrate=0.005, error=0.000
    >epoch=4532, lrate=0.005, error=0.000
    >epoch=4533, lrate=0.005, error=0.000
    >epoch=4534, lrate=0.005, error=0.000
    >epoch=4535, lrate=0.005, error=0.000
    >epoch=4536, lrate=0.005, error=0.000
    >epoch=4537, lrate=0.005, error=0.000
    >epoch=4538, lrate=0.005, error=0.000
    >epoch=4539, lrate=0.005, error=0.000
    >epoch=4540, lrate=0.005, error=0.000
    >epoch=4541, lrate=0.005, error=0.000
    >epoch=4542, lrate=0.005, error=0.000
    >epoch=4543, lrate=0.005, error=0.000
    >epoch=4544, lrate=0.005, error=0.000
    >epoch=4545, lrate=0.005, error=0.000
    >epoch=4546, lrate=0.005, error=0.000
    >epoch=4547, lrate=0.005, error=0.000
    >epoch=4548, lrate=0.005, error=0.000
    >epoch=4549, lrate=0.005, error=0.000
    >epoch=4550, lrate=0.005, error=0.000
    >epoch=4551, lrate=0.005, error=0.000
    >epoch=4552, lrate=0.005, error=0.000
    >epoch=4553, lrate=0.005, error=0.000
    >epoch=4554, lrate=0.005, error=0.000
    >epoch=4555, lrate=0.005, error=0.000
    >epoch=4556, lrate=0.005, error=0.000
    >epoch=4557, lrate=0.005, error=0.000
    >epoch=4558, lrate=0.005, error=0.000
    >epoch=4559, lrate=0.005, error=0.000
    >epoch=4560, lrate=0.005, error=0.000
    >epoch=4561, lrate=0.005, error=0.000
    >epoch=4562, lrate=0.005, error=0.000
    >epoch=4563, lrate=0.005, error=0.000
    >epoch=4564, lrate=0.005, error=0.000
    >epoch=4565, lrate=0.005, error=0.000
    >epoch=4566, lrate=0.005, error=0.000
    >epoch=4567, lrate=0.005, error=0.000
    >epoch=4568, lrate=0.005, error=0.000
    >epoch=4569, lrate=0.005, error=0.000
    >epoch=4570, lrate=0.005, error=0.000
    >epoch=4571, lrate=0.005, error=0.000
    >epoch=4572, lrate=0.005, error=0.000
    >epoch=4573, lrate=0.005, error=0.000
    >epoch=4574, lrate=0.005, error=0.000
    >epoch=4575, lrate=0.005, error=0.000
    >epoch=4576, lrate=0.005, error=0.000
    >epoch=4577, lrate=0.005, error=0.000
    >epoch=4578, lrate=0.005, error=0.000
    >epoch=4579, lrate=0.005, error=0.000
    >epoch=4580, lrate=0.005, error=0.000
    >epoch=4581, lrate=0.005, error=0.000
    >epoch=4582, lrate=0.005, error=0.000
    >epoch=4583, lrate=0.005, error=0.000
    >epoch=4584, lrate=0.005, error=0.000
    >epoch=4585, lrate=0.005, error=0.000
    >epoch=4586, lrate=0.005, error=0.000
    >epoch=4587, lrate=0.005, error=0.000
    >epoch=4588, lrate=0.005, error=0.000
    >epoch=4589, lrate=0.005, error=0.000
    >epoch=4590, lrate=0.005, error=0.000
    >epoch=4591, lrate=0.005, error=0.000
    >epoch=4592, lrate=0.005, error=0.000
    >epoch=4593, lrate=0.005, error=0.000
    >epoch=4594, lrate=0.005, error=0.000
    >epoch=4595, lrate=0.005, error=0.000
    >epoch=4596, lrate=0.005, error=0.000
    >epoch=4597, lrate=0.005, error=0.000
    >epoch=4598, lrate=0.005, error=0.000
    >epoch=4599, lrate=0.005, error=0.000
    >epoch=4600, lrate=0.005, error=0.000
    >epoch=4601, lrate=0.005, error=0.000
    >epoch=4602, lrate=0.005, error=0.000
    >epoch=4603, lrate=0.005, error=0.000
    >epoch=4604, lrate=0.005, error=0.000
    >epoch=4605, lrate=0.005, error=0.000
    >epoch=4606, lrate=0.005, error=0.000
    >epoch=4607, lrate=0.005, error=0.000
    >epoch=4608, lrate=0.005, error=0.000
    >epoch=4609, lrate=0.005, error=0.000
    >epoch=4610, lrate=0.005, error=0.000
    >epoch=4611, lrate=0.005, error=0.000
    >epoch=4612, lrate=0.005, error=0.000
    >epoch=4613, lrate=0.005, error=0.000
    >epoch=4614, lrate=0.005, error=0.000
    >epoch=4615, lrate=0.005, error=0.000
    >epoch=4616, lrate=0.005, error=0.000
    >epoch=4617, lrate=0.005, error=0.000
    >epoch=4618, lrate=0.005, error=0.000
    >epoch=4619, lrate=0.005, error=0.000
    >epoch=4620, lrate=0.005, error=0.000
    >epoch=4621, lrate=0.005, error=0.000
    >epoch=4622, lrate=0.005, error=0.000
    >epoch=4623, lrate=0.005, error=0.000
    >epoch=4624, lrate=0.005, error=0.000
    >epoch=4625, lrate=0.005, error=0.000
    >epoch=4626, lrate=0.005, error=0.000
    >epoch=4627, lrate=0.005, error=0.000
    >epoch=4628, lrate=0.005, error=0.000
    >epoch=4629, lrate=0.005, error=0.000
    >epoch=4630, lrate=0.005, error=0.000
    >epoch=4631, lrate=0.005, error=0.000
    >epoch=4632, lrate=0.005, error=0.000
    >epoch=4633, lrate=0.005, error=0.000
    >epoch=4634, lrate=0.005, error=0.000
    >epoch=4635, lrate=0.005, error=0.000
    >epoch=4636, lrate=0.005, error=0.000
    >epoch=4637, lrate=0.005, error=0.000
    >epoch=4638, lrate=0.005, error=0.000
    >epoch=4639, lrate=0.005, error=0.000
    >epoch=4640, lrate=0.005, error=0.000
    >epoch=4641, lrate=0.005, error=0.000
    >epoch=4642, lrate=0.005, error=0.000
    >epoch=4643, lrate=0.005, error=0.000
    >epoch=4644, lrate=0.005, error=0.000
    >epoch=4645, lrate=0.005, error=0.000
    >epoch=4646, lrate=0.005, error=0.000
    >epoch=4647, lrate=0.005, error=0.000
    >epoch=4648, lrate=0.005, error=0.000
    >epoch=4649, lrate=0.005, error=0.000
    >epoch=4650, lrate=0.005, error=0.000
    >epoch=4651, lrate=0.005, error=0.000
    >epoch=4652, lrate=0.005, error=0.000
    >epoch=4653, lrate=0.005, error=0.000
    >epoch=4654, lrate=0.005, error=0.000
    >epoch=4655, lrate=0.005, error=0.000
    >epoch=4656, lrate=0.005, error=0.000
    >epoch=4657, lrate=0.005, error=0.000
    >epoch=4658, lrate=0.005, error=0.000
    >epoch=4659, lrate=0.005, error=0.000
    >epoch=4660, lrate=0.005, error=0.000
    >epoch=4661, lrate=0.005, error=0.000
    >epoch=4662, lrate=0.005, error=0.000
    >epoch=4663, lrate=0.005, error=0.000
    >epoch=4664, lrate=0.005, error=0.000
    >epoch=4665, lrate=0.005, error=0.000
    >epoch=4666, lrate=0.005, error=0.000
    >epoch=4667, lrate=0.005, error=0.000
    >epoch=4668, lrate=0.005, error=0.000
    >epoch=4669, lrate=0.005, error=0.000
    >epoch=4670, lrate=0.005, error=0.000
    >epoch=4671, lrate=0.005, error=0.000
    >epoch=4672, lrate=0.005, error=0.000
    >epoch=4673, lrate=0.005, error=0.000
    >epoch=4674, lrate=0.005, error=0.000
    >epoch=4675, lrate=0.005, error=0.000
    >epoch=4676, lrate=0.005, error=0.000
    >epoch=4677, lrate=0.005, error=0.000
    >epoch=4678, lrate=0.005, error=0.000
    >epoch=4679, lrate=0.005, error=0.000
    >epoch=4680, lrate=0.005, error=0.000
    >epoch=4681, lrate=0.005, error=0.000
    >epoch=4682, lrate=0.005, error=0.000
    >epoch=4683, lrate=0.005, error=0.000
    >epoch=4684, lrate=0.005, error=0.000
    >epoch=4685, lrate=0.005, error=0.000
    >epoch=4686, lrate=0.005, error=0.000
    >epoch=4687, lrate=0.005, error=0.000
    >epoch=4688, lrate=0.005, error=0.000
    >epoch=4689, lrate=0.005, error=0.000
    >epoch=4690, lrate=0.005, error=0.000
    >epoch=4691, lrate=0.005, error=0.000
    >epoch=4692, lrate=0.005, error=0.000
    >epoch=4693, lrate=0.005, error=0.000
    >epoch=4694, lrate=0.005, error=0.000
    >epoch=4695, lrate=0.005, error=0.000
    >epoch=4696, lrate=0.005, error=0.000
    >epoch=4697, lrate=0.005, error=0.000
    >epoch=4698, lrate=0.005, error=0.000
    >epoch=4699, lrate=0.005, error=0.000
    >epoch=4700, lrate=0.005, error=0.000
    >epoch=4701, lrate=0.005, error=0.000
    >epoch=4702, lrate=0.005, error=0.000
    >epoch=4703, lrate=0.005, error=0.000
    >epoch=4704, lrate=0.005, error=0.000
    >epoch=4705, lrate=0.005, error=0.000
    >epoch=4706, lrate=0.005, error=0.000
    >epoch=4707, lrate=0.005, error=0.000
    >epoch=4708, lrate=0.005, error=0.000
    >epoch=4709, lrate=0.005, error=0.000
    >epoch=4710, lrate=0.005, error=0.000
    >epoch=4711, lrate=0.005, error=0.000
    >epoch=4712, lrate=0.005, error=0.000
    >epoch=4713, lrate=0.005, error=0.000
    >epoch=4714, lrate=0.005, error=0.000
    >epoch=4715, lrate=0.005, error=0.000
    >epoch=4716, lrate=0.005, error=0.000
    >epoch=4717, lrate=0.005, error=0.000
    >epoch=4718, lrate=0.005, error=0.000
    >epoch=4719, lrate=0.005, error=0.000
    >epoch=4720, lrate=0.005, error=0.000
    >epoch=4721, lrate=0.005, error=0.000
    >epoch=4722, lrate=0.005, error=0.000
    >epoch=4723, lrate=0.005, error=0.000
    >epoch=4724, lrate=0.005, error=0.000
    >epoch=4725, lrate=0.005, error=0.000
    >epoch=4726, lrate=0.005, error=0.000
    >epoch=4727, lrate=0.005, error=0.000
    >epoch=4728, lrate=0.005, error=0.000
    >epoch=4729, lrate=0.005, error=0.000
    >epoch=4730, lrate=0.005, error=0.000
    >epoch=4731, lrate=0.005, error=0.000
    >epoch=4732, lrate=0.005, error=0.000
    >epoch=4733, lrate=0.005, error=0.000
    >epoch=4734, lrate=0.005, error=0.000
    >epoch=4735, lrate=0.005, error=0.000
    >epoch=4736, lrate=0.005, error=0.000
    >epoch=4737, lrate=0.005, error=0.000
    >epoch=4738, lrate=0.005, error=0.000
    >epoch=4739, lrate=0.005, error=0.000
    >epoch=4740, lrate=0.005, error=0.000
    >epoch=4741, lrate=0.005, error=0.000
    >epoch=4742, lrate=0.005, error=0.000
    >epoch=4743, lrate=0.005, error=0.000
    >epoch=4744, lrate=0.005, error=0.000
    >epoch=4745, lrate=0.005, error=0.000
    >epoch=4746, lrate=0.005, error=0.000
    >epoch=4747, lrate=0.005, error=0.000
    >epoch=4748, lrate=0.005, error=0.000
    >epoch=4749, lrate=0.005, error=0.000
    >epoch=4750, lrate=0.005, error=0.000
    >epoch=4751, lrate=0.005, error=0.000
    >epoch=4752, lrate=0.005, error=0.000
    >epoch=4753, lrate=0.005, error=0.000
    >epoch=4754, lrate=0.005, error=0.000
    >epoch=4755, lrate=0.005, error=0.000
    >epoch=4756, lrate=0.005, error=0.000
    >epoch=4757, lrate=0.005, error=0.000
    >epoch=4758, lrate=0.005, error=0.000
    >epoch=4759, lrate=0.005, error=0.000
    >epoch=4760, lrate=0.005, error=0.000
    >epoch=4761, lrate=0.005, error=0.000
    >epoch=4762, lrate=0.005, error=0.000
    >epoch=4763, lrate=0.005, error=0.000
    >epoch=4764, lrate=0.005, error=0.000
    >epoch=4765, lrate=0.005, error=0.000
    >epoch=4766, lrate=0.005, error=0.000
    >epoch=4767, lrate=0.005, error=0.000
    >epoch=4768, lrate=0.005, error=0.000
    >epoch=4769, lrate=0.005, error=0.000
    >epoch=4770, lrate=0.005, error=0.000
    >epoch=4771, lrate=0.005, error=0.000
    >epoch=4772, lrate=0.005, error=0.000
    >epoch=4773, lrate=0.005, error=0.000
    >epoch=4774, lrate=0.005, error=0.000
    >epoch=4775, lrate=0.005, error=0.000
    >epoch=4776, lrate=0.005, error=0.000
    >epoch=4777, lrate=0.005, error=0.000
    >epoch=4778, lrate=0.005, error=0.000
    >epoch=4779, lrate=0.005, error=0.000
    >epoch=4780, lrate=0.005, error=0.000
    >epoch=4781, lrate=0.005, error=0.000
    >epoch=4782, lrate=0.005, error=0.000
    >epoch=4783, lrate=0.005, error=0.000
    >epoch=4784, lrate=0.005, error=0.000
    >epoch=4785, lrate=0.005, error=0.000
    >epoch=4786, lrate=0.005, error=0.000
    >epoch=4787, lrate=0.005, error=0.000
    >epoch=4788, lrate=0.005, error=0.000
    >epoch=4789, lrate=0.005, error=0.000
    >epoch=4790, lrate=0.005, error=0.000
    >epoch=4791, lrate=0.005, error=0.000
    >epoch=4792, lrate=0.005, error=0.000
    >epoch=4793, lrate=0.005, error=0.000
    >epoch=4794, lrate=0.005, error=0.000
    >epoch=4795, lrate=0.005, error=0.000
    >epoch=4796, lrate=0.005, error=0.000
    >epoch=4797, lrate=0.005, error=0.000
    >epoch=4798, lrate=0.005, error=0.000
    >epoch=4799, lrate=0.005, error=0.000
    >epoch=4800, lrate=0.005, error=0.000
    >epoch=4801, lrate=0.005, error=0.000
    >epoch=4802, lrate=0.005, error=0.000
    >epoch=4803, lrate=0.005, error=0.000
    >epoch=4804, lrate=0.005, error=0.000
    >epoch=4805, lrate=0.005, error=0.000
    >epoch=4806, lrate=0.005, error=0.000
    >epoch=4807, lrate=0.005, error=0.000
    >epoch=4808, lrate=0.005, error=0.000
    >epoch=4809, lrate=0.005, error=0.000
    >epoch=4810, lrate=0.005, error=0.000
    >epoch=4811, lrate=0.005, error=0.000
    >epoch=4812, lrate=0.005, error=0.000
    >epoch=4813, lrate=0.005, error=0.000
    >epoch=4814, lrate=0.005, error=0.000
    >epoch=4815, lrate=0.005, error=0.000
    >epoch=4816, lrate=0.005, error=0.000
    >epoch=4817, lrate=0.005, error=0.000
    >epoch=4818, lrate=0.005, error=0.000
    >epoch=4819, lrate=0.005, error=0.000
    >epoch=4820, lrate=0.005, error=0.000
    >epoch=4821, lrate=0.005, error=0.000
    >epoch=4822, lrate=0.005, error=0.000
    >epoch=4823, lrate=0.005, error=0.000
    >epoch=4824, lrate=0.005, error=0.000
    >epoch=4825, lrate=0.005, error=0.000
    >epoch=4826, lrate=0.005, error=0.000
    >epoch=4827, lrate=0.005, error=0.000
    >epoch=4828, lrate=0.005, error=0.000
    >epoch=4829, lrate=0.005, error=0.000
    >epoch=4830, lrate=0.005, error=0.000
    >epoch=4831, lrate=0.005, error=0.000
    >epoch=4832, lrate=0.005, error=0.000
    >epoch=4833, lrate=0.005, error=0.000
    >epoch=4834, lrate=0.005, error=0.000
    >epoch=4835, lrate=0.005, error=0.000
    >epoch=4836, lrate=0.005, error=0.000
    >epoch=4837, lrate=0.005, error=0.000
    >epoch=4838, lrate=0.005, error=0.000
    >epoch=4839, lrate=0.005, error=0.000
    >epoch=4840, lrate=0.005, error=0.000
    >epoch=4841, lrate=0.005, error=0.000
    >epoch=4842, lrate=0.005, error=0.000
    >epoch=4843, lrate=0.005, error=0.000
    >epoch=4844, lrate=0.005, error=0.000
    >epoch=4845, lrate=0.005, error=0.000
    >epoch=4846, lrate=0.005, error=0.000
    >epoch=4847, lrate=0.005, error=0.000
    >epoch=4848, lrate=0.005, error=0.000
    >epoch=4849, lrate=0.005, error=0.000
    >epoch=4850, lrate=0.005, error=0.000
    >epoch=4851, lrate=0.005, error=0.000
    >epoch=4852, lrate=0.005, error=0.000
    >epoch=4853, lrate=0.005, error=0.000
    >epoch=4854, lrate=0.005, error=0.000
    >epoch=4855, lrate=0.005, error=0.000
    >epoch=4856, lrate=0.005, error=0.000
    >epoch=4857, lrate=0.005, error=0.000
    >epoch=4858, lrate=0.005, error=0.000
    >epoch=4859, lrate=0.005, error=0.000
    >epoch=4860, lrate=0.005, error=0.000
    >epoch=4861, lrate=0.005, error=0.000
    >epoch=4862, lrate=0.005, error=0.000
    >epoch=4863, lrate=0.005, error=0.000
    >epoch=4864, lrate=0.005, error=0.000
    >epoch=4865, lrate=0.005, error=0.000
    >epoch=4866, lrate=0.005, error=0.000
    >epoch=4867, lrate=0.005, error=0.000
    >epoch=4868, lrate=0.005, error=0.000
    >epoch=4869, lrate=0.005, error=0.000
    >epoch=4870, lrate=0.005, error=0.000
    >epoch=4871, lrate=0.005, error=0.000
    >epoch=4872, lrate=0.005, error=0.000
    >epoch=4873, lrate=0.005, error=0.000
    >epoch=4874, lrate=0.005, error=0.000
    >epoch=4875, lrate=0.005, error=0.000
    >epoch=4876, lrate=0.005, error=0.000
    >epoch=4877, lrate=0.005, error=0.000
    >epoch=4878, lrate=0.005, error=0.000
    >epoch=4879, lrate=0.005, error=0.000
    >epoch=4880, lrate=0.005, error=0.000
    >epoch=4881, lrate=0.005, error=0.000
    >epoch=4882, lrate=0.005, error=0.000
    >epoch=4883, lrate=0.005, error=0.000
    >epoch=4884, lrate=0.005, error=0.000
    >epoch=4885, lrate=0.005, error=0.000
    >epoch=4886, lrate=0.005, error=0.000
    >epoch=4887, lrate=0.005, error=0.000
    >epoch=4888, lrate=0.005, error=0.000
    >epoch=4889, lrate=0.005, error=0.000
    >epoch=4890, lrate=0.005, error=0.000
    >epoch=4891, lrate=0.005, error=0.000
    >epoch=4892, lrate=0.005, error=0.000
    >epoch=4893, lrate=0.005, error=0.000
    >epoch=4894, lrate=0.005, error=0.000
    >epoch=4895, lrate=0.005, error=0.000
    >epoch=4896, lrate=0.005, error=0.000
    >epoch=4897, lrate=0.005, error=0.000
    >epoch=4898, lrate=0.005, error=0.000
    >epoch=4899, lrate=0.005, error=0.000
    >epoch=4900, lrate=0.005, error=0.000
    >epoch=4901, lrate=0.005, error=0.000
    >epoch=4902, lrate=0.005, error=0.000
    >epoch=4903, lrate=0.005, error=0.000
    >epoch=4904, lrate=0.005, error=0.000
    >epoch=4905, lrate=0.005, error=0.000
    >epoch=4906, lrate=0.005, error=0.000
    >epoch=4907, lrate=0.005, error=0.000
    >epoch=4908, lrate=0.005, error=0.000
    >epoch=4909, lrate=0.005, error=0.000
    >epoch=4910, lrate=0.005, error=0.000
    >epoch=4911, lrate=0.005, error=0.000
    >epoch=4912, lrate=0.005, error=0.000
    >epoch=4913, lrate=0.005, error=0.000
    >epoch=4914, lrate=0.005, error=0.000
    >epoch=4915, lrate=0.005, error=0.000
    >epoch=4916, lrate=0.005, error=0.000
    >epoch=4917, lrate=0.005, error=0.000
    >epoch=4918, lrate=0.005, error=0.000
    >epoch=4919, lrate=0.005, error=0.000
    >epoch=4920, lrate=0.005, error=0.000
    >epoch=4921, lrate=0.005, error=0.000
    >epoch=4922, lrate=0.005, error=0.000
    >epoch=4923, lrate=0.005, error=0.000
    >epoch=4924, lrate=0.005, error=0.000
    >epoch=4925, lrate=0.005, error=0.000
    >epoch=4926, lrate=0.005, error=0.000
    >epoch=4927, lrate=0.005, error=0.000
    >epoch=4928, lrate=0.005, error=0.000
    >epoch=4929, lrate=0.005, error=0.000
    >epoch=4930, lrate=0.005, error=0.000
    >epoch=4931, lrate=0.005, error=0.000
    >epoch=4932, lrate=0.005, error=0.000
    >epoch=4933, lrate=0.005, error=0.000
    >epoch=4934, lrate=0.005, error=0.000
    >epoch=4935, lrate=0.005, error=0.000
    >epoch=4936, lrate=0.005, error=0.000
    >epoch=4937, lrate=0.005, error=0.000
    >epoch=4938, lrate=0.005, error=0.000
    >epoch=4939, lrate=0.005, error=0.000
    >epoch=4940, lrate=0.005, error=0.000
    >epoch=4941, lrate=0.005, error=0.000
    >epoch=4942, lrate=0.005, error=0.000
    >epoch=4943, lrate=0.005, error=0.000
    >epoch=4944, lrate=0.005, error=0.000
    >epoch=4945, lrate=0.005, error=0.000
    >epoch=4946, lrate=0.005, error=0.000
    >epoch=4947, lrate=0.005, error=0.000
    >epoch=4948, lrate=0.005, error=0.000
    >epoch=4949, lrate=0.005, error=0.000
    >epoch=4950, lrate=0.005, error=0.000
    >epoch=4951, lrate=0.005, error=0.000
    >epoch=4952, lrate=0.005, error=0.000
    >epoch=4953, lrate=0.005, error=0.000
    >epoch=4954, lrate=0.005, error=0.000
    >epoch=4955, lrate=0.005, error=0.000
    >epoch=4956, lrate=0.005, error=0.000
    >epoch=4957, lrate=0.005, error=0.000
    >epoch=4958, lrate=0.005, error=0.000
    >epoch=4959, lrate=0.005, error=0.000
    >epoch=4960, lrate=0.005, error=0.000
    >epoch=4961, lrate=0.005, error=0.000
    >epoch=4962, lrate=0.005, error=0.000
    >epoch=4963, lrate=0.005, error=0.000
    >epoch=4964, lrate=0.005, error=0.000
    >epoch=4965, lrate=0.005, error=0.000
    >epoch=4966, lrate=0.005, error=0.000
    >epoch=4967, lrate=0.005, error=0.000
    >epoch=4968, lrate=0.005, error=0.000
    >epoch=4969, lrate=0.005, error=0.000
    >epoch=4970, lrate=0.005, error=0.000
    >epoch=4971, lrate=0.005, error=0.000
    >epoch=4972, lrate=0.005, error=0.000
    >epoch=4973, lrate=0.005, error=0.000
    >epoch=4974, lrate=0.005, error=0.000
    >epoch=4975, lrate=0.005, error=0.000
    >epoch=4976, lrate=0.005, error=0.000
    >epoch=4977, lrate=0.005, error=0.000
    >epoch=4978, lrate=0.005, error=0.000
    >epoch=4979, lrate=0.005, error=0.000
    >epoch=4980, lrate=0.005, error=0.000
    >epoch=4981, lrate=0.005, error=0.000
    >epoch=4982, lrate=0.005, error=0.000
    >epoch=4983, lrate=0.005, error=0.000
    >epoch=4984, lrate=0.005, error=0.000
    >epoch=4985, lrate=0.005, error=0.000
    >epoch=4986, lrate=0.005, error=0.000
    >epoch=4987, lrate=0.005, error=0.000
    >epoch=4988, lrate=0.005, error=0.000
    >epoch=4989, lrate=0.005, error=0.000
    >epoch=4990, lrate=0.005, error=0.000
    >epoch=4991, lrate=0.005, error=0.000
    >epoch=4992, lrate=0.005, error=0.000
    >epoch=4993, lrate=0.005, error=0.000
    >epoch=4994, lrate=0.005, error=0.000
    >epoch=4995, lrate=0.005, error=0.000
    >epoch=4996, lrate=0.005, error=0.000
    >epoch=4997, lrate=0.005, error=0.000
    >epoch=4998, lrate=0.005, error=0.000
    >epoch=4999, lrate=0.005, error=0.000
    >epoch=5000, lrate=0.005, error=0.000
    >epoch=5001, lrate=0.005, error=0.000
    >epoch=5002, lrate=0.005, error=0.000
    >epoch=5003, lrate=0.005, error=0.000
    >epoch=5004, lrate=0.005, error=0.000
    >epoch=5005, lrate=0.005, error=0.000
    >epoch=5006, lrate=0.005, error=0.000
    >epoch=5007, lrate=0.005, error=0.000
    >epoch=5008, lrate=0.005, error=0.000
    >epoch=5009, lrate=0.005, error=0.000
    >epoch=5010, lrate=0.005, error=0.000
    >epoch=5011, lrate=0.005, error=0.000
    >epoch=5012, lrate=0.005, error=0.000
    >epoch=5013, lrate=0.005, error=0.000
    >epoch=5014, lrate=0.005, error=0.000
    >epoch=5015, lrate=0.005, error=0.000
    >epoch=5016, lrate=0.005, error=0.000
    >epoch=5017, lrate=0.005, error=0.000
    >epoch=5018, lrate=0.005, error=0.000
    >epoch=5019, lrate=0.005, error=0.000
    >epoch=5020, lrate=0.005, error=0.000
    >epoch=5021, lrate=0.005, error=0.000
    >epoch=5022, lrate=0.005, error=0.000
    >epoch=5023, lrate=0.005, error=0.000
    >epoch=5024, lrate=0.005, error=0.000
    >epoch=5025, lrate=0.005, error=0.000
    >epoch=5026, lrate=0.005, error=0.000
    >epoch=5027, lrate=0.005, error=0.000
    >epoch=5028, lrate=0.005, error=0.000
    >epoch=5029, lrate=0.005, error=0.000
    >epoch=5030, lrate=0.005, error=0.000
    >epoch=5031, lrate=0.005, error=0.000
    >epoch=5032, lrate=0.005, error=0.000
    >epoch=5033, lrate=0.005, error=0.000
    >epoch=5034, lrate=0.005, error=0.000
    >epoch=5035, lrate=0.005, error=0.000
    >epoch=5036, lrate=0.005, error=0.000
    >epoch=5037, lrate=0.005, error=0.000
    >epoch=5038, lrate=0.005, error=0.000
    >epoch=5039, lrate=0.005, error=0.000
    >epoch=5040, lrate=0.005, error=0.000
    >epoch=5041, lrate=0.005, error=0.000
    >epoch=5042, lrate=0.005, error=0.000
    >epoch=5043, lrate=0.005, error=0.000
    >epoch=5044, lrate=0.005, error=0.000
    >epoch=5045, lrate=0.005, error=0.000
    >epoch=5046, lrate=0.005, error=0.000
    >epoch=5047, lrate=0.005, error=0.000
    >epoch=5048, lrate=0.005, error=0.000
    >epoch=5049, lrate=0.005, error=0.000
    >epoch=5050, lrate=0.005, error=0.000
    >epoch=5051, lrate=0.005, error=0.000
    >epoch=5052, lrate=0.005, error=0.000
    >epoch=5053, lrate=0.005, error=0.000
    >epoch=5054, lrate=0.005, error=0.000
    >epoch=5055, lrate=0.005, error=0.000
    >epoch=5056, lrate=0.005, error=0.000
    >epoch=5057, lrate=0.005, error=0.000
    >epoch=5058, lrate=0.005, error=0.000
    >epoch=5059, lrate=0.005, error=0.000
    >epoch=5060, lrate=0.005, error=0.000
    >epoch=5061, lrate=0.005, error=0.000
    >epoch=5062, lrate=0.005, error=0.000
    >epoch=5063, lrate=0.005, error=0.000
    >epoch=5064, lrate=0.005, error=0.000
    >epoch=5065, lrate=0.005, error=0.000
    >epoch=5066, lrate=0.005, error=0.000
    >epoch=5067, lrate=0.005, error=0.000
    >epoch=5068, lrate=0.005, error=0.000
    >epoch=5069, lrate=0.005, error=0.000
    >epoch=5070, lrate=0.005, error=0.000
    >epoch=5071, lrate=0.005, error=0.000
    >epoch=5072, lrate=0.005, error=0.000
    >epoch=5073, lrate=0.005, error=0.000
    >epoch=5074, lrate=0.005, error=0.000
    >epoch=5075, lrate=0.005, error=0.000
    >epoch=5076, lrate=0.005, error=0.000
    >epoch=5077, lrate=0.005, error=0.000
    >epoch=5078, lrate=0.005, error=0.000
    >epoch=5079, lrate=0.005, error=0.000
    >epoch=5080, lrate=0.005, error=0.000
    >epoch=5081, lrate=0.005, error=0.000
    >epoch=5082, lrate=0.005, error=0.000
    >epoch=5083, lrate=0.005, error=0.000
    >epoch=5084, lrate=0.005, error=0.000
    >epoch=5085, lrate=0.005, error=0.000
    >epoch=5086, lrate=0.005, error=0.000
    >epoch=5087, lrate=0.005, error=0.000
    >epoch=5088, lrate=0.005, error=0.000
    >epoch=5089, lrate=0.005, error=0.000
    >epoch=5090, lrate=0.005, error=0.000
    >epoch=5091, lrate=0.005, error=0.000
    >epoch=5092, lrate=0.005, error=0.000
    >epoch=5093, lrate=0.005, error=0.000
    >epoch=5094, lrate=0.005, error=0.000
    >epoch=5095, lrate=0.005, error=0.000
    >epoch=5096, lrate=0.005, error=0.000
    >epoch=5097, lrate=0.005, error=0.000
    >epoch=5098, lrate=0.005, error=0.000
    >epoch=5099, lrate=0.005, error=0.000
    >epoch=5100, lrate=0.005, error=0.000
    >epoch=5101, lrate=0.005, error=0.000
    >epoch=5102, lrate=0.005, error=0.000
    >epoch=5103, lrate=0.005, error=0.000
    >epoch=5104, lrate=0.005, error=0.000
    >epoch=5105, lrate=0.005, error=0.000
    >epoch=5106, lrate=0.005, error=0.000
    >epoch=5107, lrate=0.005, error=0.000
    >epoch=5108, lrate=0.005, error=0.000
    >epoch=5109, lrate=0.005, error=0.000
    >epoch=5110, lrate=0.005, error=0.000
    >epoch=5111, lrate=0.005, error=0.000
    >epoch=5112, lrate=0.005, error=0.000
    >epoch=5113, lrate=0.005, error=0.000
    >epoch=5114, lrate=0.005, error=0.000
    >epoch=5115, lrate=0.005, error=0.000
    >epoch=5116, lrate=0.005, error=0.000
    >epoch=5117, lrate=0.005, error=0.000
    >epoch=5118, lrate=0.005, error=0.000
    >epoch=5119, lrate=0.005, error=0.000
    >epoch=5120, lrate=0.005, error=0.000
    >epoch=5121, lrate=0.005, error=0.000
    >epoch=5122, lrate=0.005, error=0.000
    >epoch=5123, lrate=0.005, error=0.000
    >epoch=5124, lrate=0.005, error=0.000
    >epoch=5125, lrate=0.005, error=0.000
    >epoch=5126, lrate=0.005, error=0.000
    >epoch=5127, lrate=0.005, error=0.000
    >epoch=5128, lrate=0.005, error=0.000
    >epoch=5129, lrate=0.005, error=0.000
    >epoch=5130, lrate=0.005, error=0.000
    >epoch=5131, lrate=0.005, error=0.000
    >epoch=5132, lrate=0.005, error=0.000
    >epoch=5133, lrate=0.005, error=0.000
    >epoch=5134, lrate=0.005, error=0.000
    >epoch=5135, lrate=0.005, error=0.000
    >epoch=5136, lrate=0.005, error=0.000
    >epoch=5137, lrate=0.005, error=0.000
    >epoch=5138, lrate=0.005, error=0.000
    >epoch=5139, lrate=0.005, error=0.000
    >epoch=5140, lrate=0.005, error=0.000
    >epoch=5141, lrate=0.005, error=0.000
    >epoch=5142, lrate=0.005, error=0.000
    >epoch=5143, lrate=0.005, error=0.000
    >epoch=5144, lrate=0.005, error=0.000
    >epoch=5145, lrate=0.005, error=0.000
    >epoch=5146, lrate=0.005, error=0.000
    >epoch=5147, lrate=0.005, error=0.000
    >epoch=5148, lrate=0.005, error=0.000
    >epoch=5149, lrate=0.005, error=0.000
    >epoch=5150, lrate=0.005, error=0.000
    >epoch=5151, lrate=0.005, error=0.000
    >epoch=5152, lrate=0.005, error=0.000
    >epoch=5153, lrate=0.005, error=0.000
    >epoch=5154, lrate=0.005, error=0.000
    >epoch=5155, lrate=0.005, error=0.000
    >epoch=5156, lrate=0.005, error=0.000
    >epoch=5157, lrate=0.005, error=0.000
    >epoch=5158, lrate=0.005, error=0.000
    >epoch=5159, lrate=0.005, error=0.000
    >epoch=5160, lrate=0.005, error=0.000
    >epoch=5161, lrate=0.005, error=0.000
    >epoch=5162, lrate=0.005, error=0.000
    >epoch=5163, lrate=0.005, error=0.000
    >epoch=5164, lrate=0.005, error=0.000
    >epoch=5165, lrate=0.005, error=0.000
    >epoch=5166, lrate=0.005, error=0.000
    >epoch=5167, lrate=0.005, error=0.000
    >epoch=5168, lrate=0.005, error=0.000
    >epoch=5169, lrate=0.005, error=0.000
    >epoch=5170, lrate=0.005, error=0.000
    >epoch=5171, lrate=0.005, error=0.000
    >epoch=5172, lrate=0.005, error=0.000
    >epoch=5173, lrate=0.005, error=0.000
    >epoch=5174, lrate=0.005, error=0.000
    >epoch=5175, lrate=0.005, error=0.000
    >epoch=5176, lrate=0.005, error=0.000
    >epoch=5177, lrate=0.005, error=0.000
    >epoch=5178, lrate=0.005, error=0.000
    >epoch=5179, lrate=0.005, error=0.000
    >epoch=5180, lrate=0.005, error=0.000
    >epoch=5181, lrate=0.005, error=0.000
    >epoch=5182, lrate=0.005, error=0.000
    >epoch=5183, lrate=0.005, error=0.000
    >epoch=5184, lrate=0.005, error=0.000
    >epoch=5185, lrate=0.005, error=0.000
    >epoch=5186, lrate=0.005, error=0.000
    >epoch=5187, lrate=0.005, error=0.000
    >epoch=5188, lrate=0.005, error=0.000
    >epoch=5189, lrate=0.005, error=0.000
    >epoch=5190, lrate=0.005, error=0.000
    >epoch=5191, lrate=0.005, error=0.000
    >epoch=5192, lrate=0.005, error=0.000
    >epoch=5193, lrate=0.005, error=0.000
    >epoch=5194, lrate=0.005, error=0.000
    >epoch=5195, lrate=0.005, error=0.000
    >epoch=5196, lrate=0.005, error=0.000
    >epoch=5197, lrate=0.005, error=0.000
    >epoch=5198, lrate=0.005, error=0.000
    >epoch=5199, lrate=0.005, error=0.000
    >epoch=5200, lrate=0.005, error=0.000
    >epoch=5201, lrate=0.005, error=0.000
    >epoch=5202, lrate=0.005, error=0.000
    >epoch=5203, lrate=0.005, error=0.000
    >epoch=5204, lrate=0.005, error=0.000
    >epoch=5205, lrate=0.005, error=0.000
    >epoch=5206, lrate=0.005, error=0.000
    >epoch=5207, lrate=0.005, error=0.000
    >epoch=5208, lrate=0.005, error=0.000
    >epoch=5209, lrate=0.005, error=0.000
    >epoch=5210, lrate=0.005, error=0.000
    >epoch=5211, lrate=0.005, error=0.000
    >epoch=5212, lrate=0.005, error=0.000
    >epoch=5213, lrate=0.005, error=0.000
    >epoch=5214, lrate=0.005, error=0.000
    >epoch=5215, lrate=0.005, error=0.000
    >epoch=5216, lrate=0.005, error=0.000
    >epoch=5217, lrate=0.005, error=0.000
    >epoch=5218, lrate=0.005, error=0.000
    >epoch=5219, lrate=0.005, error=0.000
    >epoch=5220, lrate=0.005, error=0.000
    >epoch=5221, lrate=0.005, error=0.000
    >epoch=5222, lrate=0.005, error=0.000
    >epoch=5223, lrate=0.005, error=0.000
    >epoch=5224, lrate=0.005, error=0.000
    >epoch=5225, lrate=0.005, error=0.000
    >epoch=5226, lrate=0.005, error=0.000
    >epoch=5227, lrate=0.005, error=0.000
    >epoch=5228, lrate=0.005, error=0.000
    >epoch=5229, lrate=0.005, error=0.000
    >epoch=5230, lrate=0.005, error=0.000
    >epoch=5231, lrate=0.005, error=0.000
    >epoch=5232, lrate=0.005, error=0.000
    >epoch=5233, lrate=0.005, error=0.000
    >epoch=5234, lrate=0.005, error=0.000
    >epoch=5235, lrate=0.005, error=0.000
    >epoch=5236, lrate=0.005, error=0.000
    >epoch=5237, lrate=0.005, error=0.000
    >epoch=5238, lrate=0.005, error=0.000
    >epoch=5239, lrate=0.005, error=0.000
    >epoch=5240, lrate=0.005, error=0.000
    >epoch=5241, lrate=0.005, error=0.000
    >epoch=5242, lrate=0.005, error=0.000
    >epoch=5243, lrate=0.005, error=0.000
    >epoch=5244, lrate=0.005, error=0.000
    >epoch=5245, lrate=0.005, error=0.000
    >epoch=5246, lrate=0.005, error=0.000
    >epoch=5247, lrate=0.005, error=0.000
    >epoch=5248, lrate=0.005, error=0.000
    >epoch=5249, lrate=0.005, error=0.000
    >epoch=5250, lrate=0.005, error=0.000
    >epoch=5251, lrate=0.005, error=0.000
    >epoch=5252, lrate=0.005, error=0.000
    >epoch=5253, lrate=0.005, error=0.000
    >epoch=5254, lrate=0.005, error=0.000
    >epoch=5255, lrate=0.005, error=0.000
    >epoch=5256, lrate=0.005, error=0.000
    >epoch=5257, lrate=0.005, error=0.000
    >epoch=5258, lrate=0.005, error=0.000
    >epoch=5259, lrate=0.005, error=0.000
    >epoch=5260, lrate=0.005, error=0.000
    >epoch=5261, lrate=0.005, error=0.000
    >epoch=5262, lrate=0.005, error=0.000
    >epoch=5263, lrate=0.005, error=0.000
    >epoch=5264, lrate=0.005, error=0.000
    >epoch=5265, lrate=0.005, error=0.000
    >epoch=5266, lrate=0.005, error=0.000
    >epoch=5267, lrate=0.005, error=0.000
    >epoch=5268, lrate=0.005, error=0.000
    >epoch=5269, lrate=0.005, error=0.000
    >epoch=5270, lrate=0.005, error=0.000
    >epoch=5271, lrate=0.005, error=0.000
    >epoch=5272, lrate=0.005, error=0.000
    >epoch=5273, lrate=0.005, error=0.000
    >epoch=5274, lrate=0.005, error=0.000
    >epoch=5275, lrate=0.005, error=0.000
    >epoch=5276, lrate=0.005, error=0.000
    >epoch=5277, lrate=0.005, error=0.000
    >epoch=5278, lrate=0.005, error=0.000
    >epoch=5279, lrate=0.005, error=0.000
    >epoch=5280, lrate=0.005, error=0.000
    >epoch=5281, lrate=0.005, error=0.000
    >epoch=5282, lrate=0.005, error=0.000
    >epoch=5283, lrate=0.005, error=0.000
    >epoch=5284, lrate=0.005, error=0.000
    >epoch=5285, lrate=0.005, error=0.000
    >epoch=5286, lrate=0.005, error=0.000
    >epoch=5287, lrate=0.005, error=0.000
    >epoch=5288, lrate=0.005, error=0.000
    >epoch=5289, lrate=0.005, error=0.000
    >epoch=5290, lrate=0.005, error=0.000
    >epoch=5291, lrate=0.005, error=0.000
    >epoch=5292, lrate=0.005, error=0.000
    >epoch=5293, lrate=0.005, error=0.000
    >epoch=5294, lrate=0.005, error=0.000
    >epoch=5295, lrate=0.005, error=0.000
    >epoch=5296, lrate=0.005, error=0.000
    >epoch=5297, lrate=0.005, error=0.000
    >epoch=5298, lrate=0.005, error=0.000
    >epoch=5299, lrate=0.005, error=0.000
    >epoch=5300, lrate=0.005, error=0.000
    >epoch=5301, lrate=0.005, error=0.000
    >epoch=5302, lrate=0.005, error=0.000
    >epoch=5303, lrate=0.005, error=0.000
    >epoch=5304, lrate=0.005, error=0.000
    >epoch=5305, lrate=0.005, error=0.000
    >epoch=5306, lrate=0.005, error=0.000
    >epoch=5307, lrate=0.005, error=0.000
    >epoch=5308, lrate=0.005, error=0.000
    >epoch=5309, lrate=0.005, error=0.000
    >epoch=5310, lrate=0.005, error=0.000
    >epoch=5311, lrate=0.005, error=0.000
    >epoch=5312, lrate=0.005, error=0.000
    >epoch=5313, lrate=0.005, error=0.000
    >epoch=5314, lrate=0.005, error=0.000
    >epoch=5315, lrate=0.005, error=0.000
    >epoch=5316, lrate=0.005, error=0.000
    >epoch=5317, lrate=0.005, error=0.000
    >epoch=5318, lrate=0.005, error=0.000
    >epoch=5319, lrate=0.005, error=0.000
    >epoch=5320, lrate=0.005, error=0.000
    >epoch=5321, lrate=0.005, error=0.000
    >epoch=5322, lrate=0.005, error=0.000
    >epoch=5323, lrate=0.005, error=0.000
    >epoch=5324, lrate=0.005, error=0.000
    >epoch=5325, lrate=0.005, error=0.000
    >epoch=5326, lrate=0.005, error=0.000
    >epoch=5327, lrate=0.005, error=0.000
    >epoch=5328, lrate=0.005, error=0.000
    >epoch=5329, lrate=0.005, error=0.000
    >epoch=5330, lrate=0.005, error=0.000
    >epoch=5331, lrate=0.005, error=0.000
    >epoch=5332, lrate=0.005, error=0.000
    >epoch=5333, lrate=0.005, error=0.000
    >epoch=5334, lrate=0.005, error=0.000
    >epoch=5335, lrate=0.005, error=0.000
    >epoch=5336, lrate=0.005, error=0.000
    >epoch=5337, lrate=0.005, error=0.000
    >epoch=5338, lrate=0.005, error=0.000
    >epoch=5339, lrate=0.005, error=0.000
    >epoch=5340, lrate=0.005, error=0.000
    >epoch=5341, lrate=0.005, error=0.000
    >epoch=5342, lrate=0.005, error=0.000
    >epoch=5343, lrate=0.005, error=0.000
    >epoch=5344, lrate=0.005, error=0.000
    >epoch=5345, lrate=0.005, error=0.000
    >epoch=5346, lrate=0.005, error=0.000
    >epoch=5347, lrate=0.005, error=0.000
    >epoch=5348, lrate=0.005, error=0.000
    >epoch=5349, lrate=0.005, error=0.000
    >epoch=5350, lrate=0.005, error=0.000
    >epoch=5351, lrate=0.005, error=0.000
    >epoch=5352, lrate=0.005, error=0.000
    >epoch=5353, lrate=0.005, error=0.000
    >epoch=5354, lrate=0.005, error=0.000
    >epoch=5355, lrate=0.005, error=0.000
    >epoch=5356, lrate=0.005, error=0.000
    >epoch=5357, lrate=0.005, error=0.000
    >epoch=5358, lrate=0.005, error=0.000
    >epoch=5359, lrate=0.005, error=0.000
    >epoch=5360, lrate=0.005, error=0.000
    >epoch=5361, lrate=0.005, error=0.000
    >epoch=5362, lrate=0.005, error=0.000
    >epoch=5363, lrate=0.005, error=0.000
    >epoch=5364, lrate=0.005, error=0.000
    >epoch=5365, lrate=0.005, error=0.000
    >epoch=5366, lrate=0.005, error=0.000
    >epoch=5367, lrate=0.005, error=0.000
    >epoch=5368, lrate=0.005, error=0.000
    >epoch=5369, lrate=0.005, error=0.000
    >epoch=5370, lrate=0.005, error=0.000
    >epoch=5371, lrate=0.005, error=0.000
    >epoch=5372, lrate=0.005, error=0.000
    >epoch=5373, lrate=0.005, error=0.000
    >epoch=5374, lrate=0.005, error=0.000
    >epoch=5375, lrate=0.005, error=0.000
    >epoch=5376, lrate=0.005, error=0.000
    >epoch=5377, lrate=0.005, error=0.000
    >epoch=5378, lrate=0.005, error=0.000
    >epoch=5379, lrate=0.005, error=0.000
    >epoch=5380, lrate=0.005, error=0.000
    >epoch=5381, lrate=0.005, error=0.000
    >epoch=5382, lrate=0.005, error=0.000
    >epoch=5383, lrate=0.005, error=0.000
    >epoch=5384, lrate=0.005, error=0.000
    >epoch=5385, lrate=0.005, error=0.000
    >epoch=5386, lrate=0.005, error=0.000
    >epoch=5387, lrate=0.005, error=0.000
    >epoch=5388, lrate=0.005, error=0.000
    >epoch=5389, lrate=0.005, error=0.000
    >epoch=5390, lrate=0.005, error=0.000
    >epoch=5391, lrate=0.005, error=0.000
    >epoch=5392, lrate=0.005, error=0.000
    >epoch=5393, lrate=0.005, error=0.000
    >epoch=5394, lrate=0.005, error=0.000
    >epoch=5395, lrate=0.005, error=0.000
    >epoch=5396, lrate=0.005, error=0.000
    >epoch=5397, lrate=0.005, error=0.000
    >epoch=5398, lrate=0.005, error=0.000
    >epoch=5399, lrate=0.005, error=0.000
    >epoch=5400, lrate=0.005, error=0.000
    >epoch=5401, lrate=0.005, error=0.000
    >epoch=5402, lrate=0.005, error=0.000
    >epoch=5403, lrate=0.005, error=0.000
    >epoch=5404, lrate=0.005, error=0.000
    >epoch=5405, lrate=0.005, error=0.000
    >epoch=5406, lrate=0.005, error=0.000
    >epoch=5407, lrate=0.005, error=0.000
    >epoch=5408, lrate=0.005, error=0.000
    >epoch=5409, lrate=0.005, error=0.000
    >epoch=5410, lrate=0.005, error=0.000
    >epoch=5411, lrate=0.005, error=0.000
    >epoch=5412, lrate=0.005, error=0.000
    >epoch=5413, lrate=0.005, error=0.000
    >epoch=5414, lrate=0.005, error=0.000
    >epoch=5415, lrate=0.005, error=0.000
    >epoch=5416, lrate=0.005, error=0.000
    >epoch=5417, lrate=0.005, error=0.000
    >epoch=5418, lrate=0.005, error=0.000
    >epoch=5419, lrate=0.005, error=0.000
    >epoch=5420, lrate=0.005, error=0.000
    >epoch=5421, lrate=0.005, error=0.000
    >epoch=5422, lrate=0.005, error=0.000
    >epoch=5423, lrate=0.005, error=0.000
    >epoch=5424, lrate=0.005, error=0.000
    >epoch=5425, lrate=0.005, error=0.000
    >epoch=5426, lrate=0.005, error=0.000
    >epoch=5427, lrate=0.005, error=0.000
    >epoch=5428, lrate=0.005, error=0.000
    >epoch=5429, lrate=0.005, error=0.000
    >epoch=5430, lrate=0.005, error=0.000
    >epoch=5431, lrate=0.005, error=0.000
    >epoch=5432, lrate=0.005, error=0.000
    >epoch=5433, lrate=0.005, error=0.000
    >epoch=5434, lrate=0.005, error=0.000
    >epoch=5435, lrate=0.005, error=0.000
    >epoch=5436, lrate=0.005, error=0.000
    >epoch=5437, lrate=0.005, error=0.000
    >epoch=5438, lrate=0.005, error=0.000
    >epoch=5439, lrate=0.005, error=0.000
    >epoch=5440, lrate=0.005, error=0.000
    >epoch=5441, lrate=0.005, error=0.000
    >epoch=5442, lrate=0.005, error=0.000
    >epoch=5443, lrate=0.005, error=0.000
    >epoch=5444, lrate=0.005, error=0.000
    >epoch=5445, lrate=0.005, error=0.000
    >epoch=5446, lrate=0.005, error=0.000
    >epoch=5447, lrate=0.005, error=0.000
    >epoch=5448, lrate=0.005, error=0.000
    >epoch=5449, lrate=0.005, error=0.000
    >epoch=5450, lrate=0.005, error=0.000
    >epoch=5451, lrate=0.005, error=0.000
    >epoch=5452, lrate=0.005, error=0.000
    >epoch=5453, lrate=0.005, error=0.000
    >epoch=5454, lrate=0.005, error=0.000
    >epoch=5455, lrate=0.005, error=0.000
    >epoch=5456, lrate=0.005, error=0.000
    >epoch=5457, lrate=0.005, error=0.000
    >epoch=5458, lrate=0.005, error=0.000
    >epoch=5459, lrate=0.005, error=0.000
    >epoch=5460, lrate=0.005, error=0.000
    >epoch=5461, lrate=0.005, error=0.000
    >epoch=5462, lrate=0.005, error=0.000
    >epoch=5463, lrate=0.005, error=0.000
    >epoch=5464, lrate=0.005, error=0.000
    >epoch=5465, lrate=0.005, error=0.000
    >epoch=5466, lrate=0.005, error=0.000
    >epoch=5467, lrate=0.005, error=0.000
    >epoch=5468, lrate=0.005, error=0.000
    >epoch=5469, lrate=0.005, error=0.000
    >epoch=5470, lrate=0.005, error=0.000
    >epoch=5471, lrate=0.005, error=0.000
    >epoch=5472, lrate=0.005, error=0.000
    >epoch=5473, lrate=0.005, error=0.000
    >epoch=5474, lrate=0.005, error=0.000
    >epoch=5475, lrate=0.005, error=0.000
    >epoch=5476, lrate=0.005, error=0.000
    >epoch=5477, lrate=0.005, error=0.000
    >epoch=5478, lrate=0.005, error=0.000
    >epoch=5479, lrate=0.005, error=0.000
    >epoch=5480, lrate=0.005, error=0.000
    >epoch=5481, lrate=0.005, error=0.000
    >epoch=5482, lrate=0.005, error=0.000
    >epoch=5483, lrate=0.005, error=0.000
    >epoch=5484, lrate=0.005, error=0.000
    >epoch=5485, lrate=0.005, error=0.000
    >epoch=5486, lrate=0.005, error=0.000
    >epoch=5487, lrate=0.005, error=0.000
    >epoch=5488, lrate=0.005, error=0.000
    >epoch=5489, lrate=0.005, error=0.000
    >epoch=5490, lrate=0.005, error=0.000
    >epoch=5491, lrate=0.005, error=0.000
    >epoch=5492, lrate=0.005, error=0.000
    >epoch=5493, lrate=0.005, error=0.000
    >epoch=5494, lrate=0.005, error=0.000
    >epoch=5495, lrate=0.005, error=0.000
    >epoch=5496, lrate=0.005, error=0.000
    >epoch=5497, lrate=0.005, error=0.000
    >epoch=5498, lrate=0.005, error=0.000
    >epoch=5499, lrate=0.005, error=0.000
    >epoch=5500, lrate=0.005, error=0.000
    >epoch=5501, lrate=0.005, error=0.000
    >epoch=5502, lrate=0.005, error=0.000
    >epoch=5503, lrate=0.005, error=0.000
    >epoch=5504, lrate=0.005, error=0.000
    >epoch=5505, lrate=0.005, error=0.000
    >epoch=5506, lrate=0.005, error=0.000
    >epoch=5507, lrate=0.005, error=0.000
    >epoch=5508, lrate=0.005, error=0.000
    >epoch=5509, lrate=0.005, error=0.000
    >epoch=5510, lrate=0.005, error=0.000
    >epoch=5511, lrate=0.005, error=0.000
    >epoch=5512, lrate=0.005, error=0.000
    >epoch=5513, lrate=0.005, error=0.000
    >epoch=5514, lrate=0.005, error=0.000
    >epoch=5515, lrate=0.005, error=0.000
    >epoch=5516, lrate=0.005, error=0.000
    >epoch=5517, lrate=0.005, error=0.000
    >epoch=5518, lrate=0.005, error=0.000
    >epoch=5519, lrate=0.005, error=0.000
    >epoch=5520, lrate=0.005, error=0.000
    >epoch=5521, lrate=0.005, error=0.000
    >epoch=5522, lrate=0.005, error=0.000
    >epoch=5523, lrate=0.005, error=0.000
    >epoch=5524, lrate=0.005, error=0.000
    >epoch=5525, lrate=0.005, error=0.000
    >epoch=5526, lrate=0.005, error=0.000
    >epoch=5527, lrate=0.005, error=0.000
    >epoch=5528, lrate=0.005, error=0.000
    >epoch=5529, lrate=0.005, error=0.000
    >epoch=5530, lrate=0.005, error=0.000
    >epoch=5531, lrate=0.005, error=0.000
    >epoch=5532, lrate=0.005, error=0.000
    >epoch=5533, lrate=0.005, error=0.000
    >epoch=5534, lrate=0.005, error=0.000
    >epoch=5535, lrate=0.005, error=0.000
    >epoch=5536, lrate=0.005, error=0.000
    >epoch=5537, lrate=0.005, error=0.000
    >epoch=5538, lrate=0.005, error=0.000
    >epoch=5539, lrate=0.005, error=0.000
    >epoch=5540, lrate=0.005, error=0.000
    >epoch=5541, lrate=0.005, error=0.000
    >epoch=5542, lrate=0.005, error=0.000
    >epoch=5543, lrate=0.005, error=0.000
    >epoch=5544, lrate=0.005, error=0.000
    >epoch=5545, lrate=0.005, error=0.000
    >epoch=5546, lrate=0.005, error=0.000
    >epoch=5547, lrate=0.005, error=0.000
    >epoch=5548, lrate=0.005, error=0.000
    >epoch=5549, lrate=0.005, error=0.000
    >epoch=5550, lrate=0.005, error=0.000
    >epoch=5551, lrate=0.005, error=0.000
    >epoch=5552, lrate=0.005, error=0.000
    >epoch=5553, lrate=0.005, error=0.000
    >epoch=5554, lrate=0.005, error=0.000
    >epoch=5555, lrate=0.005, error=0.000
    >epoch=5556, lrate=0.005, error=0.000
    >epoch=5557, lrate=0.005, error=0.000
    >epoch=5558, lrate=0.005, error=0.000
    >epoch=5559, lrate=0.005, error=0.000
    >epoch=5560, lrate=0.005, error=0.000
    >epoch=5561, lrate=0.005, error=0.000
    >epoch=5562, lrate=0.005, error=0.000
    >epoch=5563, lrate=0.005, error=0.000
    >epoch=5564, lrate=0.005, error=0.000
    >epoch=5565, lrate=0.005, error=0.000
    >epoch=5566, lrate=0.005, error=0.000
    >epoch=5567, lrate=0.005, error=0.000
    >epoch=5568, lrate=0.005, error=0.000
    >epoch=5569, lrate=0.005, error=0.000
    >epoch=5570, lrate=0.005, error=0.000
    >epoch=5571, lrate=0.005, error=0.000
    >epoch=5572, lrate=0.005, error=0.000
    >epoch=5573, lrate=0.005, error=0.000
    >epoch=5574, lrate=0.005, error=0.000
    >epoch=5575, lrate=0.005, error=0.000
    >epoch=5576, lrate=0.005, error=0.000
    >epoch=5577, lrate=0.005, error=0.000
    >epoch=5578, lrate=0.005, error=0.000
    >epoch=5579, lrate=0.005, error=0.000
    >epoch=5580, lrate=0.005, error=0.000
    >epoch=5581, lrate=0.005, error=0.000
    >epoch=5582, lrate=0.005, error=0.000
    >epoch=5583, lrate=0.005, error=0.000
    >epoch=5584, lrate=0.005, error=0.000
    >epoch=5585, lrate=0.005, error=0.000
    >epoch=5586, lrate=0.005, error=0.000
    >epoch=5587, lrate=0.005, error=0.000
    >epoch=5588, lrate=0.005, error=0.000
    >epoch=5589, lrate=0.005, error=0.000
    >epoch=5590, lrate=0.005, error=0.000
    >epoch=5591, lrate=0.005, error=0.000
    >epoch=5592, lrate=0.005, error=0.000
    >epoch=5593, lrate=0.005, error=0.000
    >epoch=5594, lrate=0.005, error=0.000
    >epoch=5595, lrate=0.005, error=0.000
    >epoch=5596, lrate=0.005, error=0.000
    >epoch=5597, lrate=0.005, error=0.000
    >epoch=5598, lrate=0.005, error=0.000
    >epoch=5599, lrate=0.005, error=0.000
    >epoch=5600, lrate=0.005, error=0.000
    >epoch=5601, lrate=0.005, error=0.000
    >epoch=5602, lrate=0.005, error=0.000
    >epoch=5603, lrate=0.005, error=0.000
    >epoch=5604, lrate=0.005, error=0.000
    >epoch=5605, lrate=0.005, error=0.000
    >epoch=5606, lrate=0.005, error=0.000
    >epoch=5607, lrate=0.005, error=0.000
    >epoch=5608, lrate=0.005, error=0.000
    >epoch=5609, lrate=0.005, error=0.000
    >epoch=5610, lrate=0.005, error=0.000
    >epoch=5611, lrate=0.005, error=0.000
    >epoch=5612, lrate=0.005, error=0.000
    >epoch=5613, lrate=0.005, error=0.000
    >epoch=5614, lrate=0.005, error=0.000
    >epoch=5615, lrate=0.005, error=0.000
    >epoch=5616, lrate=0.005, error=0.000
    >epoch=5617, lrate=0.005, error=0.000
    >epoch=5618, lrate=0.005, error=0.000
    >epoch=5619, lrate=0.005, error=0.000
    >epoch=5620, lrate=0.005, error=0.000
    >epoch=5621, lrate=0.005, error=0.000
    >epoch=5622, lrate=0.005, error=0.000
    >epoch=5623, lrate=0.005, error=0.000
    >epoch=5624, lrate=0.005, error=0.000
    >epoch=5625, lrate=0.005, error=0.000
    >epoch=5626, lrate=0.005, error=0.000
    >epoch=5627, lrate=0.005, error=0.000
    >epoch=5628, lrate=0.005, error=0.000
    >epoch=5629, lrate=0.005, error=0.000
    >epoch=5630, lrate=0.005, error=0.000
    >epoch=5631, lrate=0.005, error=0.000
    >epoch=5632, lrate=0.005, error=0.000
    >epoch=5633, lrate=0.005, error=0.000
    >epoch=5634, lrate=0.005, error=0.000
    >epoch=5635, lrate=0.005, error=0.000
    >epoch=5636, lrate=0.005, error=0.000
    >epoch=5637, lrate=0.005, error=0.000
    >epoch=5638, lrate=0.005, error=0.000
    >epoch=5639, lrate=0.005, error=0.000
    >epoch=5640, lrate=0.005, error=0.000
    >epoch=5641, lrate=0.005, error=0.000
    >epoch=5642, lrate=0.005, error=0.000
    >epoch=5643, lrate=0.005, error=0.000
    >epoch=5644, lrate=0.005, error=0.000
    >epoch=5645, lrate=0.005, error=0.000
    >epoch=5646, lrate=0.005, error=0.000
    >epoch=5647, lrate=0.005, error=0.000
    >epoch=5648, lrate=0.005, error=0.000
    >epoch=5649, lrate=0.005, error=0.000
    >epoch=5650, lrate=0.005, error=0.000
    >epoch=5651, lrate=0.005, error=0.000
    >epoch=5652, lrate=0.005, error=0.000
    >epoch=5653, lrate=0.005, error=0.000
    >epoch=5654, lrate=0.005, error=0.000
    >epoch=5655, lrate=0.005, error=0.000
    >epoch=5656, lrate=0.005, error=0.000
    >epoch=5657, lrate=0.005, error=0.000
    >epoch=5658, lrate=0.005, error=0.000
    >epoch=5659, lrate=0.005, error=0.000
    >epoch=5660, lrate=0.005, error=0.000
    >epoch=5661, lrate=0.005, error=0.000
    >epoch=5662, lrate=0.005, error=0.000
    >epoch=5663, lrate=0.005, error=0.000
    >epoch=5664, lrate=0.005, error=0.000
    >epoch=5665, lrate=0.005, error=0.000
    >epoch=5666, lrate=0.005, error=0.000
    >epoch=5667, lrate=0.005, error=0.000
    >epoch=5668, lrate=0.005, error=0.000
    >epoch=5669, lrate=0.005, error=0.000
    >epoch=5670, lrate=0.005, error=0.000
    >epoch=5671, lrate=0.005, error=0.000
    >epoch=5672, lrate=0.005, error=0.000
    >epoch=5673, lrate=0.005, error=0.000
    >epoch=5674, lrate=0.005, error=0.000
    >epoch=5675, lrate=0.005, error=0.000
    >epoch=5676, lrate=0.005, error=0.000
    >epoch=5677, lrate=0.005, error=0.000
    >epoch=5678, lrate=0.005, error=0.000
    >epoch=5679, lrate=0.005, error=0.000
    >epoch=5680, lrate=0.005, error=0.000
    >epoch=5681, lrate=0.005, error=0.000
    >epoch=5682, lrate=0.005, error=0.000
    >epoch=5683, lrate=0.005, error=0.000
    >epoch=5684, lrate=0.005, error=0.000
    >epoch=5685, lrate=0.005, error=0.000
    >epoch=5686, lrate=0.005, error=0.000
    >epoch=5687, lrate=0.005, error=0.000
    >epoch=5688, lrate=0.005, error=0.000
    >epoch=5689, lrate=0.005, error=0.000
    >epoch=5690, lrate=0.005, error=0.000
    >epoch=5691, lrate=0.005, error=0.000
    >epoch=5692, lrate=0.005, error=0.000
    >epoch=5693, lrate=0.005, error=0.000
    >epoch=5694, lrate=0.005, error=0.000
    >epoch=5695, lrate=0.005, error=0.000
    >epoch=5696, lrate=0.005, error=0.000
    >epoch=5697, lrate=0.005, error=0.000
    >epoch=5698, lrate=0.005, error=0.000
    >epoch=5699, lrate=0.005, error=0.000
    >epoch=5700, lrate=0.005, error=0.000
    >epoch=5701, lrate=0.005, error=0.000
    >epoch=5702, lrate=0.005, error=0.000
    >epoch=5703, lrate=0.005, error=0.000
    >epoch=5704, lrate=0.005, error=0.000
    >epoch=5705, lrate=0.005, error=0.000
    >epoch=5706, lrate=0.005, error=0.000
    >epoch=5707, lrate=0.005, error=0.000
    >epoch=5708, lrate=0.005, error=0.000
    >epoch=5709, lrate=0.005, error=0.000
    >epoch=5710, lrate=0.005, error=0.000
    >epoch=5711, lrate=0.005, error=0.000
    >epoch=5712, lrate=0.005, error=0.000
    >epoch=5713, lrate=0.005, error=0.000
    >epoch=5714, lrate=0.005, error=0.000
    >epoch=5715, lrate=0.005, error=0.000
    >epoch=5716, lrate=0.005, error=0.000
    >epoch=5717, lrate=0.005, error=0.000
    >epoch=5718, lrate=0.005, error=0.000
    >epoch=5719, lrate=0.005, error=0.000
    >epoch=5720, lrate=0.005, error=0.000
    >epoch=5721, lrate=0.005, error=0.000
    >epoch=5722, lrate=0.005, error=0.000
    >epoch=5723, lrate=0.005, error=0.000
    >epoch=5724, lrate=0.005, error=0.000
    >epoch=5725, lrate=0.005, error=0.000
    >epoch=5726, lrate=0.005, error=0.000
    >epoch=5727, lrate=0.005, error=0.000
    >epoch=5728, lrate=0.005, error=0.000
    >epoch=5729, lrate=0.005, error=0.000
    >epoch=5730, lrate=0.005, error=0.000
    >epoch=5731, lrate=0.005, error=0.000
    >epoch=5732, lrate=0.005, error=0.000
    >epoch=5733, lrate=0.005, error=0.000
    >epoch=5734, lrate=0.005, error=0.000
    >epoch=5735, lrate=0.005, error=0.000
    >epoch=5736, lrate=0.005, error=0.000
    >epoch=5737, lrate=0.005, error=0.000
    >epoch=5738, lrate=0.005, error=0.000
    >epoch=5739, lrate=0.005, error=0.000
    >epoch=5740, lrate=0.005, error=0.000
    >epoch=5741, lrate=0.005, error=0.000
    >epoch=5742, lrate=0.005, error=0.000
    >epoch=5743, lrate=0.005, error=0.000
    >epoch=5744, lrate=0.005, error=0.000
    >epoch=5745, lrate=0.005, error=0.000
    >epoch=5746, lrate=0.005, error=0.000
    >epoch=5747, lrate=0.005, error=0.000
    >epoch=5748, lrate=0.005, error=0.000
    >epoch=5749, lrate=0.005, error=0.000
    >epoch=5750, lrate=0.005, error=0.000
    >epoch=5751, lrate=0.005, error=0.000
    >epoch=5752, lrate=0.005, error=0.000
    >epoch=5753, lrate=0.005, error=0.000
    >epoch=5754, lrate=0.005, error=0.000
    >epoch=5755, lrate=0.005, error=0.000
    >epoch=5756, lrate=0.005, error=0.000
    >epoch=5757, lrate=0.005, error=0.000
    >epoch=5758, lrate=0.005, error=0.000
    >epoch=5759, lrate=0.005, error=0.000
    >epoch=5760, lrate=0.005, error=0.000
    >epoch=5761, lrate=0.005, error=0.000
    >epoch=5762, lrate=0.005, error=0.000
    >epoch=5763, lrate=0.005, error=0.000
    >epoch=5764, lrate=0.005, error=0.000
    >epoch=5765, lrate=0.005, error=0.000
    >epoch=5766, lrate=0.005, error=0.000
    >epoch=5767, lrate=0.005, error=0.000
    >epoch=5768, lrate=0.005, error=0.000
    >epoch=5769, lrate=0.005, error=0.000
    >epoch=5770, lrate=0.005, error=0.000
    >epoch=5771, lrate=0.005, error=0.000
    >epoch=5772, lrate=0.005, error=0.000
    >epoch=5773, lrate=0.005, error=0.000
    >epoch=5774, lrate=0.005, error=0.000
    >epoch=5775, lrate=0.005, error=0.000
    >epoch=5776, lrate=0.005, error=0.000
    >epoch=5777, lrate=0.005, error=0.000
    >epoch=5778, lrate=0.005, error=0.000
    >epoch=5779, lrate=0.005, error=0.000
    >epoch=5780, lrate=0.005, error=0.000
    >epoch=5781, lrate=0.005, error=0.000
    >epoch=5782, lrate=0.005, error=0.000
    >epoch=5783, lrate=0.005, error=0.000
    >epoch=5784, lrate=0.005, error=0.000
    >epoch=5785, lrate=0.005, error=0.000
    >epoch=5786, lrate=0.005, error=0.000
    >epoch=5787, lrate=0.005, error=0.000
    >epoch=5788, lrate=0.005, error=0.000
    >epoch=5789, lrate=0.005, error=0.000
    >epoch=5790, lrate=0.005, error=0.000
    >epoch=5791, lrate=0.005, error=0.000
    >epoch=5792, lrate=0.005, error=0.000
    >epoch=5793, lrate=0.005, error=0.000
    >epoch=5794, lrate=0.005, error=0.000
    >epoch=5795, lrate=0.005, error=0.000
    >epoch=5796, lrate=0.005, error=0.000
    >epoch=5797, lrate=0.005, error=0.000
    >epoch=5798, lrate=0.005, error=0.000
    >epoch=5799, lrate=0.005, error=0.000
    >epoch=5800, lrate=0.005, error=0.000
    >epoch=5801, lrate=0.005, error=0.000
    >epoch=5802, lrate=0.005, error=0.000
    >epoch=5803, lrate=0.005, error=0.000
    >epoch=5804, lrate=0.005, error=0.000
    >epoch=5805, lrate=0.005, error=0.000
    >epoch=5806, lrate=0.005, error=0.000
    >epoch=5807, lrate=0.005, error=0.000
    >epoch=5808, lrate=0.005, error=0.000
    >epoch=5809, lrate=0.005, error=0.000
    >epoch=5810, lrate=0.005, error=0.000
    >epoch=5811, lrate=0.005, error=0.000
    >epoch=5812, lrate=0.005, error=0.000
    >epoch=5813, lrate=0.005, error=0.000
    >epoch=5814, lrate=0.005, error=0.000
    >epoch=5815, lrate=0.005, error=0.000
    >epoch=5816, lrate=0.005, error=0.000
    >epoch=5817, lrate=0.005, error=0.000
    >epoch=5818, lrate=0.005, error=0.000
    >epoch=5819, lrate=0.005, error=0.000
    >epoch=5820, lrate=0.005, error=0.000
    >epoch=5821, lrate=0.005, error=0.000
    >epoch=5822, lrate=0.005, error=0.000
    >epoch=5823, lrate=0.005, error=0.000
    >epoch=5824, lrate=0.005, error=0.000
    >epoch=5825, lrate=0.005, error=0.000
    >epoch=5826, lrate=0.005, error=0.000
    >epoch=5827, lrate=0.005, error=0.000
    >epoch=5828, lrate=0.005, error=0.000
    >epoch=5829, lrate=0.005, error=0.000
    >epoch=5830, lrate=0.005, error=0.000
    >epoch=5831, lrate=0.005, error=0.000
    >epoch=5832, lrate=0.005, error=0.000
    >epoch=5833, lrate=0.005, error=0.000
    >epoch=5834, lrate=0.005, error=0.000
    >epoch=5835, lrate=0.005, error=0.000
    >epoch=5836, lrate=0.005, error=0.000
    >epoch=5837, lrate=0.005, error=0.000
    >epoch=5838, lrate=0.005, error=0.000
    >epoch=5839, lrate=0.005, error=0.000
    >epoch=5840, lrate=0.005, error=0.000
    >epoch=5841, lrate=0.005, error=0.000
    >epoch=5842, lrate=0.005, error=0.000
    >epoch=5843, lrate=0.005, error=0.000
    >epoch=5844, lrate=0.005, error=0.000
    >epoch=5845, lrate=0.005, error=0.000
    >epoch=5846, lrate=0.005, error=0.000
    >epoch=5847, lrate=0.005, error=0.000
    >epoch=5848, lrate=0.005, error=0.000
    >epoch=5849, lrate=0.005, error=0.000
    >epoch=5850, lrate=0.005, error=0.000
    >epoch=5851, lrate=0.005, error=0.000
    >epoch=5852, lrate=0.005, error=0.000
    >epoch=5853, lrate=0.005, error=0.000
    >epoch=5854, lrate=0.005, error=0.000
    >epoch=5855, lrate=0.005, error=0.000
    >epoch=5856, lrate=0.005, error=0.000
    >epoch=5857, lrate=0.005, error=0.000
    >epoch=5858, lrate=0.005, error=0.000
    >epoch=5859, lrate=0.005, error=0.000
    >epoch=5860, lrate=0.005, error=0.000
    >epoch=5861, lrate=0.005, error=0.000
    >epoch=5862, lrate=0.005, error=0.000
    >epoch=5863, lrate=0.005, error=0.000
    >epoch=5864, lrate=0.005, error=0.000
    >epoch=5865, lrate=0.005, error=0.000
    >epoch=5866, lrate=0.005, error=0.000
    >epoch=5867, lrate=0.005, error=0.000
    >epoch=5868, lrate=0.005, error=0.000
    >epoch=5869, lrate=0.005, error=0.000
    >epoch=5870, lrate=0.005, error=0.000
    >epoch=5871, lrate=0.005, error=0.000
    >epoch=5872, lrate=0.005, error=0.000
    >epoch=5873, lrate=0.005, error=0.000
    >epoch=5874, lrate=0.005, error=0.000
    >epoch=5875, lrate=0.005, error=0.000
    >epoch=5876, lrate=0.005, error=0.000
    >epoch=5877, lrate=0.005, error=0.000
    >epoch=5878, lrate=0.005, error=0.000
    >epoch=5879, lrate=0.005, error=0.000
    >epoch=5880, lrate=0.005, error=0.000
    >epoch=5881, lrate=0.005, error=0.000
    >epoch=5882, lrate=0.005, error=0.000
    >epoch=5883, lrate=0.005, error=0.000
    >epoch=5884, lrate=0.005, error=0.000
    >epoch=5885, lrate=0.005, error=0.000
    >epoch=5886, lrate=0.005, error=0.000
    >epoch=5887, lrate=0.005, error=0.000
    >epoch=5888, lrate=0.005, error=0.000
    >epoch=5889, lrate=0.005, error=0.000
    >epoch=5890, lrate=0.005, error=0.000
    >epoch=5891, lrate=0.005, error=0.000
    >epoch=5892, lrate=0.005, error=0.000
    >epoch=5893, lrate=0.005, error=0.000
    >epoch=5894, lrate=0.005, error=0.000
    >epoch=5895, lrate=0.005, error=0.000
    >epoch=5896, lrate=0.005, error=0.000
    >epoch=5897, lrate=0.005, error=0.000
    >epoch=5898, lrate=0.005, error=0.000
    >epoch=5899, lrate=0.005, error=0.000
    >epoch=5900, lrate=0.005, error=0.000
    >epoch=5901, lrate=0.005, error=0.000
    >epoch=5902, lrate=0.005, error=0.000
    >epoch=5903, lrate=0.005, error=0.000
    >epoch=5904, lrate=0.005, error=0.000
    >epoch=5905, lrate=0.005, error=0.000
    >epoch=5906, lrate=0.005, error=0.000
    >epoch=5907, lrate=0.005, error=0.000
    >epoch=5908, lrate=0.005, error=0.000
    >epoch=5909, lrate=0.005, error=0.000
    >epoch=5910, lrate=0.005, error=0.000
    >epoch=5911, lrate=0.005, error=0.000
    >epoch=5912, lrate=0.005, error=0.000
    >epoch=5913, lrate=0.005, error=0.000
    >epoch=5914, lrate=0.005, error=0.000
    >epoch=5915, lrate=0.005, error=0.000
    >epoch=5916, lrate=0.005, error=0.000
    >epoch=5917, lrate=0.005, error=0.000
    >epoch=5918, lrate=0.005, error=0.000
    >epoch=5919, lrate=0.005, error=0.000
    >epoch=5920, lrate=0.005, error=0.000
    >epoch=5921, lrate=0.005, error=0.000
    >epoch=5922, lrate=0.005, error=0.000
    >epoch=5923, lrate=0.005, error=0.000
    >epoch=5924, lrate=0.005, error=0.000
    >epoch=5925, lrate=0.005, error=0.000
    >epoch=5926, lrate=0.005, error=0.000
    >epoch=5927, lrate=0.005, error=0.000
    >epoch=5928, lrate=0.005, error=0.000
    >epoch=5929, lrate=0.005, error=0.000
    >epoch=5930, lrate=0.005, error=0.000
    >epoch=5931, lrate=0.005, error=0.000
    >epoch=5932, lrate=0.005, error=0.000
    >epoch=5933, lrate=0.005, error=0.000
    >epoch=5934, lrate=0.005, error=0.000
    >epoch=5935, lrate=0.005, error=0.000
    >epoch=5936, lrate=0.005, error=0.000
    >epoch=5937, lrate=0.005, error=0.000
    >epoch=5938, lrate=0.005, error=0.000
    >epoch=5939, lrate=0.005, error=0.000
    >epoch=5940, lrate=0.005, error=0.000
    >epoch=5941, lrate=0.005, error=0.000
    >epoch=5942, lrate=0.005, error=0.000
    >epoch=5943, lrate=0.005, error=0.000
    >epoch=5944, lrate=0.005, error=0.000
    >epoch=5945, lrate=0.005, error=0.000
    >epoch=5946, lrate=0.005, error=0.000
    >epoch=5947, lrate=0.005, error=0.000
    >epoch=5948, lrate=0.005, error=0.000
    >epoch=5949, lrate=0.005, error=0.000
    >epoch=5950, lrate=0.005, error=0.000
    >epoch=5951, lrate=0.005, error=0.000
    >epoch=5952, lrate=0.005, error=0.000
    >epoch=5953, lrate=0.005, error=0.000
    >epoch=5954, lrate=0.005, error=0.000
    >epoch=5955, lrate=0.005, error=0.000
    >epoch=5956, lrate=0.005, error=0.000
    >epoch=5957, lrate=0.005, error=0.000
    >epoch=5958, lrate=0.005, error=0.000
    >epoch=5959, lrate=0.005, error=0.000
    >epoch=5960, lrate=0.005, error=0.000
    >epoch=5961, lrate=0.005, error=0.000
    >epoch=5962, lrate=0.005, error=0.000
    >epoch=5963, lrate=0.005, error=0.000
    >epoch=5964, lrate=0.005, error=0.000
    >epoch=5965, lrate=0.005, error=0.000
    >epoch=5966, lrate=0.005, error=0.000
    >epoch=5967, lrate=0.005, error=0.000
    >epoch=5968, lrate=0.005, error=0.000
    >epoch=5969, lrate=0.005, error=0.000
    >epoch=5970, lrate=0.005, error=0.000
    >epoch=5971, lrate=0.005, error=0.000
    >epoch=5972, lrate=0.005, error=0.000
    >epoch=5973, lrate=0.005, error=0.000
    >epoch=5974, lrate=0.005, error=0.000
    >epoch=5975, lrate=0.005, error=0.000
    >epoch=5976, lrate=0.005, error=0.000
    >epoch=5977, lrate=0.005, error=0.000
    >epoch=5978, lrate=0.005, error=0.000
    >epoch=5979, lrate=0.005, error=0.000
    >epoch=5980, lrate=0.005, error=0.000
    >epoch=5981, lrate=0.005, error=0.000
    >epoch=5982, lrate=0.005, error=0.000
    >epoch=5983, lrate=0.005, error=0.000
    >epoch=5984, lrate=0.005, error=0.000
    >epoch=5985, lrate=0.005, error=0.000
    >epoch=5986, lrate=0.005, error=0.000
    >epoch=5987, lrate=0.005, error=0.000
    >epoch=5988, lrate=0.005, error=0.000
    >epoch=5989, lrate=0.005, error=0.000
    >epoch=5990, lrate=0.005, error=0.000
    >epoch=5991, lrate=0.005, error=0.000
    >epoch=5992, lrate=0.005, error=0.000
    >epoch=5993, lrate=0.005, error=0.000
    >epoch=5994, lrate=0.005, error=0.000
    >epoch=5995, lrate=0.005, error=0.000
    >epoch=5996, lrate=0.005, error=0.000
    >epoch=5997, lrate=0.005, error=0.000
    >epoch=5998, lrate=0.005, error=0.000
    >epoch=5999, lrate=0.005, error=0.000
    >epoch=6000, lrate=0.005, error=0.000
    >epoch=6001, lrate=0.005, error=0.000
    >epoch=6002, lrate=0.005, error=0.000
    >epoch=6003, lrate=0.005, error=0.000
    >epoch=6004, lrate=0.005, error=0.000
    >epoch=6005, lrate=0.005, error=0.000
    >epoch=6006, lrate=0.005, error=0.000
    >epoch=6007, lrate=0.005, error=0.000
    >epoch=6008, lrate=0.005, error=0.000
    >epoch=6009, lrate=0.005, error=0.000
    >epoch=6010, lrate=0.005, error=0.000
    >epoch=6011, lrate=0.005, error=0.000
    >epoch=6012, lrate=0.005, error=0.000
    >epoch=6013, lrate=0.005, error=0.000
    >epoch=6014, lrate=0.005, error=0.000
    >epoch=6015, lrate=0.005, error=0.000
    >epoch=6016, lrate=0.005, error=0.000
    >epoch=6017, lrate=0.005, error=0.000
    >epoch=6018, lrate=0.005, error=0.000
    >epoch=6019, lrate=0.005, error=0.000
    >epoch=6020, lrate=0.005, error=0.000
    >epoch=6021, lrate=0.005, error=0.000
    >epoch=6022, lrate=0.005, error=0.000
    >epoch=6023, lrate=0.005, error=0.000
    >epoch=6024, lrate=0.005, error=0.000
    >epoch=6025, lrate=0.005, error=0.000
    >epoch=6026, lrate=0.005, error=0.000
    >epoch=6027, lrate=0.005, error=0.000
    >epoch=6028, lrate=0.005, error=0.000
    >epoch=6029, lrate=0.005, error=0.000
    >epoch=6030, lrate=0.005, error=0.000
    >epoch=6031, lrate=0.005, error=0.000
    >epoch=6032, lrate=0.005, error=0.000
    >epoch=6033, lrate=0.005, error=0.000
    >epoch=6034, lrate=0.005, error=0.000
    >epoch=6035, lrate=0.005, error=0.000
    >epoch=6036, lrate=0.005, error=0.000
    >epoch=6037, lrate=0.005, error=0.000
    >epoch=6038, lrate=0.005, error=0.000
    >epoch=6039, lrate=0.005, error=0.000
    >epoch=6040, lrate=0.005, error=0.000
    >epoch=6041, lrate=0.005, error=0.000
    >epoch=6042, lrate=0.005, error=0.000
    >epoch=6043, lrate=0.005, error=0.000
    >epoch=6044, lrate=0.005, error=0.000
    >epoch=6045, lrate=0.005, error=0.000
    >epoch=6046, lrate=0.005, error=0.000
    >epoch=6047, lrate=0.005, error=0.000
    >epoch=6048, lrate=0.005, error=0.000
    >epoch=6049, lrate=0.005, error=0.000
    >epoch=6050, lrate=0.005, error=0.000
    >epoch=6051, lrate=0.005, error=0.000
    >epoch=6052, lrate=0.005, error=0.000
    >epoch=6053, lrate=0.005, error=0.000
    >epoch=6054, lrate=0.005, error=0.000
    >epoch=6055, lrate=0.005, error=0.000
    >epoch=6056, lrate=0.005, error=0.000
    >epoch=6057, lrate=0.005, error=0.000
    >epoch=6058, lrate=0.005, error=0.000
    >epoch=6059, lrate=0.005, error=0.000
    >epoch=6060, lrate=0.005, error=0.000
    >epoch=6061, lrate=0.005, error=0.000
    >epoch=6062, lrate=0.005, error=0.000
    >epoch=6063, lrate=0.005, error=0.000
    >epoch=6064, lrate=0.005, error=0.000
    >epoch=6065, lrate=0.005, error=0.000
    >epoch=6066, lrate=0.005, error=0.000
    >epoch=6067, lrate=0.005, error=0.000
    >epoch=6068, lrate=0.005, error=0.000
    >epoch=6069, lrate=0.005, error=0.000
    >epoch=6070, lrate=0.005, error=0.000
    >epoch=6071, lrate=0.005, error=0.000
    >epoch=6072, lrate=0.005, error=0.000
    >epoch=6073, lrate=0.005, error=0.000
    >epoch=6074, lrate=0.005, error=0.000
    >epoch=6075, lrate=0.005, error=0.000
    >epoch=6076, lrate=0.005, error=0.000
    >epoch=6077, lrate=0.005, error=0.000
    >epoch=6078, lrate=0.005, error=0.000
    >epoch=6079, lrate=0.005, error=0.000
    >epoch=6080, lrate=0.005, error=0.000
    >epoch=6081, lrate=0.005, error=0.000
    >epoch=6082, lrate=0.005, error=0.000
    >epoch=6083, lrate=0.005, error=0.000
    >epoch=6084, lrate=0.005, error=0.000
    >epoch=6085, lrate=0.005, error=0.000
    >epoch=6086, lrate=0.005, error=0.000
    >epoch=6087, lrate=0.005, error=0.000
    >epoch=6088, lrate=0.005, error=0.000
    >epoch=6089, lrate=0.005, error=0.000
    >epoch=6090, lrate=0.005, error=0.000
    >epoch=6091, lrate=0.005, error=0.000
    >epoch=6092, lrate=0.005, error=0.000
    >epoch=6093, lrate=0.005, error=0.000
    >epoch=6094, lrate=0.005, error=0.000
    >epoch=6095, lrate=0.005, error=0.000
    >epoch=6096, lrate=0.005, error=0.000
    >epoch=6097, lrate=0.005, error=0.000
    >epoch=6098, lrate=0.005, error=0.000
    >epoch=6099, lrate=0.005, error=0.000
    >epoch=6100, lrate=0.005, error=0.000
    >epoch=6101, lrate=0.005, error=0.000
    >epoch=6102, lrate=0.005, error=0.000
    >epoch=6103, lrate=0.005, error=0.000
    >epoch=6104, lrate=0.005, error=0.000
    >epoch=6105, lrate=0.005, error=0.000
    >epoch=6106, lrate=0.005, error=0.000
    >epoch=6107, lrate=0.005, error=0.000
    >epoch=6108, lrate=0.005, error=0.000
    >epoch=6109, lrate=0.005, error=0.000
    >epoch=6110, lrate=0.005, error=0.000
    >epoch=6111, lrate=0.005, error=0.000
    >epoch=6112, lrate=0.005, error=0.000
    >epoch=6113, lrate=0.005, error=0.000
    >epoch=6114, lrate=0.005, error=0.000
    >epoch=6115, lrate=0.005, error=0.000
    >epoch=6116, lrate=0.005, error=0.000
    >epoch=6117, lrate=0.005, error=0.000
    >epoch=6118, lrate=0.005, error=0.000
    >epoch=6119, lrate=0.005, error=0.000
    >epoch=6120, lrate=0.005, error=0.000
    >epoch=6121, lrate=0.005, error=0.000
    >epoch=6122, lrate=0.005, error=0.000
    >epoch=6123, lrate=0.005, error=0.000
    >epoch=6124, lrate=0.005, error=0.000
    >epoch=6125, lrate=0.005, error=0.000
    >epoch=6126, lrate=0.005, error=0.000
    >epoch=6127, lrate=0.005, error=0.000
    >epoch=6128, lrate=0.005, error=0.000
    >epoch=6129, lrate=0.005, error=0.000
    >epoch=6130, lrate=0.005, error=0.000
    >epoch=6131, lrate=0.005, error=0.000
    >epoch=6132, lrate=0.005, error=0.000
    >epoch=6133, lrate=0.005, error=0.000
    >epoch=6134, lrate=0.005, error=0.000
    >epoch=6135, lrate=0.005, error=0.000
    >epoch=6136, lrate=0.005, error=0.000
    >epoch=6137, lrate=0.005, error=0.000
    >epoch=6138, lrate=0.005, error=0.000
    >epoch=6139, lrate=0.005, error=0.000
    >epoch=6140, lrate=0.005, error=0.000
    >epoch=6141, lrate=0.005, error=0.000
    >epoch=6142, lrate=0.005, error=0.000
    >epoch=6143, lrate=0.005, error=0.000
    >epoch=6144, lrate=0.005, error=0.000
    >epoch=6145, lrate=0.005, error=0.000
    >epoch=6146, lrate=0.005, error=0.000
    >epoch=6147, lrate=0.005, error=0.000
    >epoch=6148, lrate=0.005, error=0.000
    >epoch=6149, lrate=0.005, error=0.000
    >epoch=6150, lrate=0.005, error=0.000
    >epoch=6151, lrate=0.005, error=0.000
    >epoch=6152, lrate=0.005, error=0.000
    >epoch=6153, lrate=0.005, error=0.000
    >epoch=6154, lrate=0.005, error=0.000
    >epoch=6155, lrate=0.005, error=0.000
    >epoch=6156, lrate=0.005, error=0.000
    >epoch=6157, lrate=0.005, error=0.000
    >epoch=6158, lrate=0.005, error=0.000
    >epoch=6159, lrate=0.005, error=0.000
    >epoch=6160, lrate=0.005, error=0.000
    >epoch=6161, lrate=0.005, error=0.000
    >epoch=6162, lrate=0.005, error=0.000
    >epoch=6163, lrate=0.005, error=0.000
    >epoch=6164, lrate=0.005, error=0.000
    >epoch=6165, lrate=0.005, error=0.000
    >epoch=6166, lrate=0.005, error=0.000
    >epoch=6167, lrate=0.005, error=0.000
    >epoch=6168, lrate=0.005, error=0.000
    >epoch=6169, lrate=0.005, error=0.000
    >epoch=6170, lrate=0.005, error=0.000
    >epoch=6171, lrate=0.005, error=0.000
    >epoch=6172, lrate=0.005, error=0.000
    >epoch=6173, lrate=0.005, error=0.000
    >epoch=6174, lrate=0.005, error=0.000
    >epoch=6175, lrate=0.005, error=0.000
    >epoch=6176, lrate=0.005, error=0.000
    >epoch=6177, lrate=0.005, error=0.000
    >epoch=6178, lrate=0.005, error=0.000
    >epoch=6179, lrate=0.005, error=0.000
    >epoch=6180, lrate=0.005, error=0.000
    >epoch=6181, lrate=0.005, error=0.000
    >epoch=6182, lrate=0.005, error=0.000
    >epoch=6183, lrate=0.005, error=0.000
    >epoch=6184, lrate=0.005, error=0.000
    >epoch=6185, lrate=0.005, error=0.000
    >epoch=6186, lrate=0.005, error=0.000
    >epoch=6187, lrate=0.005, error=0.000
    >epoch=6188, lrate=0.005, error=0.000
    >epoch=6189, lrate=0.005, error=0.000
    >epoch=6190, lrate=0.005, error=0.000
    >epoch=6191, lrate=0.005, error=0.000
    >epoch=6192, lrate=0.005, error=0.000
    >epoch=6193, lrate=0.005, error=0.000
    >epoch=6194, lrate=0.005, error=0.000
    >epoch=6195, lrate=0.005, error=0.000
    >epoch=6196, lrate=0.005, error=0.000
    >epoch=6197, lrate=0.005, error=0.000
    >epoch=6198, lrate=0.005, error=0.000
    >epoch=6199, lrate=0.005, error=0.000
    >epoch=6200, lrate=0.005, error=0.000
    >epoch=6201, lrate=0.005, error=0.000
    >epoch=6202, lrate=0.005, error=0.000
    >epoch=6203, lrate=0.005, error=0.000
    >epoch=6204, lrate=0.005, error=0.000
    >epoch=6205, lrate=0.005, error=0.000
    >epoch=6206, lrate=0.005, error=0.000
    >epoch=6207, lrate=0.005, error=0.000
    >epoch=6208, lrate=0.005, error=0.000
    >epoch=6209, lrate=0.005, error=0.000
    >epoch=6210, lrate=0.005, error=0.000
    >epoch=6211, lrate=0.005, error=0.000
    >epoch=6212, lrate=0.005, error=0.000
    >epoch=6213, lrate=0.005, error=0.000
    >epoch=6214, lrate=0.005, error=0.000
    >epoch=6215, lrate=0.005, error=0.000
    >epoch=6216, lrate=0.005, error=0.000
    >epoch=6217, lrate=0.005, error=0.000
    >epoch=6218, lrate=0.005, error=0.000
    >epoch=6219, lrate=0.005, error=0.000
    >epoch=6220, lrate=0.005, error=0.000
    >epoch=6221, lrate=0.005, error=0.000
    >epoch=6222, lrate=0.005, error=0.000
    >epoch=6223, lrate=0.005, error=0.000
    >epoch=6224, lrate=0.005, error=0.000
    >epoch=6225, lrate=0.005, error=0.000
    >epoch=6226, lrate=0.005, error=0.000
    >epoch=6227, lrate=0.005, error=0.000
    >epoch=6228, lrate=0.005, error=0.000
    >epoch=6229, lrate=0.005, error=0.000
    >epoch=6230, lrate=0.005, error=0.000
    >epoch=6231, lrate=0.005, error=0.000
    >epoch=6232, lrate=0.005, error=0.000
    >epoch=6233, lrate=0.005, error=0.000
    >epoch=6234, lrate=0.005, error=0.000
    >epoch=6235, lrate=0.005, error=0.000
    >epoch=6236, lrate=0.005, error=0.000
    >epoch=6237, lrate=0.005, error=0.000
    >epoch=6238, lrate=0.005, error=0.000
    >epoch=6239, lrate=0.005, error=0.000
    >epoch=6240, lrate=0.005, error=0.000
    >epoch=6241, lrate=0.005, error=0.000
    >epoch=6242, lrate=0.005, error=0.000
    >epoch=6243, lrate=0.005, error=0.000
    >epoch=6244, lrate=0.005, error=0.000
    >epoch=6245, lrate=0.005, error=0.000
    >epoch=6246, lrate=0.005, error=0.000
    >epoch=6247, lrate=0.005, error=0.000
    >epoch=6248, lrate=0.005, error=0.000
    >epoch=6249, lrate=0.005, error=0.000
    >epoch=6250, lrate=0.005, error=0.000
    >epoch=6251, lrate=0.005, error=0.000
    >epoch=6252, lrate=0.005, error=0.000
    >epoch=6253, lrate=0.005, error=0.000
    >epoch=6254, lrate=0.005, error=0.000
    >epoch=6255, lrate=0.005, error=0.000
    >epoch=6256, lrate=0.005, error=0.000
    >epoch=6257, lrate=0.005, error=0.000
    >epoch=6258, lrate=0.005, error=0.000
    >epoch=6259, lrate=0.005, error=0.000
    >epoch=6260, lrate=0.005, error=0.000
    >epoch=6261, lrate=0.005, error=0.000
    >epoch=6262, lrate=0.005, error=0.000
    >epoch=6263, lrate=0.005, error=0.000
    >epoch=6264, lrate=0.005, error=0.000
    >epoch=6265, lrate=0.005, error=0.000
    >epoch=6266, lrate=0.005, error=0.000
    >epoch=6267, lrate=0.005, error=0.000
    >epoch=6268, lrate=0.005, error=0.000
    >epoch=6269, lrate=0.005, error=0.000
    >epoch=6270, lrate=0.005, error=0.000
    >epoch=6271, lrate=0.005, error=0.000
    >epoch=6272, lrate=0.005, error=0.000
    >epoch=6273, lrate=0.005, error=0.000
    >epoch=6274, lrate=0.005, error=0.000
    >epoch=6275, lrate=0.005, error=0.000
    >epoch=6276, lrate=0.005, error=0.000
    >epoch=6277, lrate=0.005, error=0.000
    >epoch=6278, lrate=0.005, error=0.000
    >epoch=6279, lrate=0.005, error=0.000
    >epoch=6280, lrate=0.005, error=0.000
    >epoch=6281, lrate=0.005, error=0.000
    >epoch=6282, lrate=0.005, error=0.000
    >epoch=6283, lrate=0.005, error=0.000
    >epoch=6284, lrate=0.005, error=0.000
    >epoch=6285, lrate=0.005, error=0.000
    >epoch=6286, lrate=0.005, error=0.000
    >epoch=6287, lrate=0.005, error=0.000
    >epoch=6288, lrate=0.005, error=0.000
    >epoch=6289, lrate=0.005, error=0.000
    >epoch=6290, lrate=0.005, error=0.000
    >epoch=6291, lrate=0.005, error=0.000
    >epoch=6292, lrate=0.005, error=0.000
    >epoch=6293, lrate=0.005, error=0.000
    >epoch=6294, lrate=0.005, error=0.000
    >epoch=6295, lrate=0.005, error=0.000
    >epoch=6296, lrate=0.005, error=0.000
    >epoch=6297, lrate=0.005, error=0.000
    >epoch=6298, lrate=0.005, error=0.000
    >epoch=6299, lrate=0.005, error=0.000
    >epoch=6300, lrate=0.005, error=0.000
    >epoch=6301, lrate=0.005, error=0.000
    >epoch=6302, lrate=0.005, error=0.000
    >epoch=6303, lrate=0.005, error=0.000
    >epoch=6304, lrate=0.005, error=0.000
    >epoch=6305, lrate=0.005, error=0.000
    >epoch=6306, lrate=0.005, error=0.000
    >epoch=6307, lrate=0.005, error=0.000
    >epoch=6308, lrate=0.005, error=0.000
    >epoch=6309, lrate=0.005, error=0.000
    >epoch=6310, lrate=0.005, error=0.000
    >epoch=6311, lrate=0.005, error=0.000
    >epoch=6312, lrate=0.005, error=0.000
    >epoch=6313, lrate=0.005, error=0.000
    >epoch=6314, lrate=0.005, error=0.000
    >epoch=6315, lrate=0.005, error=0.000
    >epoch=6316, lrate=0.005, error=0.000
    >epoch=6317, lrate=0.005, error=0.000
    >epoch=6318, lrate=0.005, error=0.000
    >epoch=6319, lrate=0.005, error=0.000
    >epoch=6320, lrate=0.005, error=0.000
    >epoch=6321, lrate=0.005, error=0.000
    >epoch=6322, lrate=0.005, error=0.000
    >epoch=6323, lrate=0.005, error=0.000
    >epoch=6324, lrate=0.005, error=0.000
    >epoch=6325, lrate=0.005, error=0.000
    >epoch=6326, lrate=0.005, error=0.000
    >epoch=6327, lrate=0.005, error=0.000
    >epoch=6328, lrate=0.005, error=0.000
    >epoch=6329, lrate=0.005, error=0.000
    >epoch=6330, lrate=0.005, error=0.000
    >epoch=6331, lrate=0.005, error=0.000
    >epoch=6332, lrate=0.005, error=0.000
    >epoch=6333, lrate=0.005, error=0.000
    >epoch=6334, lrate=0.005, error=0.000
    >epoch=6335, lrate=0.005, error=0.000
    >epoch=6336, lrate=0.005, error=0.000
    >epoch=6337, lrate=0.005, error=0.000
    >epoch=6338, lrate=0.005, error=0.000
    >epoch=6339, lrate=0.005, error=0.000
    >epoch=6340, lrate=0.005, error=0.000
    >epoch=6341, lrate=0.005, error=0.000
    >epoch=6342, lrate=0.005, error=0.000
    >epoch=6343, lrate=0.005, error=0.000
    >epoch=6344, lrate=0.005, error=0.000
    >epoch=6345, lrate=0.005, error=0.000
    >epoch=6346, lrate=0.005, error=0.000
    >epoch=6347, lrate=0.005, error=0.000
    >epoch=6348, lrate=0.005, error=0.000
    >epoch=6349, lrate=0.005, error=0.000
    >epoch=6350, lrate=0.005, error=0.000
    >epoch=6351, lrate=0.005, error=0.000
    >epoch=6352, lrate=0.005, error=0.000
    >epoch=6353, lrate=0.005, error=0.000
    >epoch=6354, lrate=0.005, error=0.000
    >epoch=6355, lrate=0.005, error=0.000
    >epoch=6356, lrate=0.005, error=0.000
    >epoch=6357, lrate=0.005, error=0.000
    >epoch=6358, lrate=0.005, error=0.000
    >epoch=6359, lrate=0.005, error=0.000
    >epoch=6360, lrate=0.005, error=0.000
    >epoch=6361, lrate=0.005, error=0.000
    >epoch=6362, lrate=0.005, error=0.000
    >epoch=6363, lrate=0.005, error=0.000
    >epoch=6364, lrate=0.005, error=0.000
    >epoch=6365, lrate=0.005, error=0.000
    >epoch=6366, lrate=0.005, error=0.000
    >epoch=6367, lrate=0.005, error=0.000
    >epoch=6368, lrate=0.005, error=0.000
    >epoch=6369, lrate=0.005, error=0.000
    >epoch=6370, lrate=0.005, error=0.000
    >epoch=6371, lrate=0.005, error=0.000
    >epoch=6372, lrate=0.005, error=0.000
    >epoch=6373, lrate=0.005, error=0.000
    >epoch=6374, lrate=0.005, error=0.000
    >epoch=6375, lrate=0.005, error=0.000
    >epoch=6376, lrate=0.005, error=0.000
    >epoch=6377, lrate=0.005, error=0.000
    >epoch=6378, lrate=0.005, error=0.000
    >epoch=6379, lrate=0.005, error=0.000
    >epoch=6380, lrate=0.005, error=0.000
    >epoch=6381, lrate=0.005, error=0.000
    >epoch=6382, lrate=0.005, error=0.000
    >epoch=6383, lrate=0.005, error=0.000
    >epoch=6384, lrate=0.005, error=0.000
    >epoch=6385, lrate=0.005, error=0.000
    >epoch=6386, lrate=0.005, error=0.000
    >epoch=6387, lrate=0.005, error=0.000
    >epoch=6388, lrate=0.005, error=0.000
    >epoch=6389, lrate=0.005, error=0.000
    >epoch=6390, lrate=0.005, error=0.000
    >epoch=6391, lrate=0.005, error=0.000
    >epoch=6392, lrate=0.005, error=0.000
    >epoch=6393, lrate=0.005, error=0.000
    >epoch=6394, lrate=0.005, error=0.000
    >epoch=6395, lrate=0.005, error=0.000
    >epoch=6396, lrate=0.005, error=0.000
    >epoch=6397, lrate=0.005, error=0.000
    >epoch=6398, lrate=0.005, error=0.000
    >epoch=6399, lrate=0.005, error=0.000
    >epoch=6400, lrate=0.005, error=0.000
    >epoch=6401, lrate=0.005, error=0.000
    >epoch=6402, lrate=0.005, error=0.000
    >epoch=6403, lrate=0.005, error=0.000
    >epoch=6404, lrate=0.005, error=0.000
    >epoch=6405, lrate=0.005, error=0.000
    >epoch=6406, lrate=0.005, error=0.000
    >epoch=6407, lrate=0.005, error=0.000
    >epoch=6408, lrate=0.005, error=0.000
    >epoch=6409, lrate=0.005, error=0.000
    >epoch=6410, lrate=0.005, error=0.000
    >epoch=6411, lrate=0.005, error=0.000
    >epoch=6412, lrate=0.005, error=0.000
    >epoch=6413, lrate=0.005, error=0.000
    >epoch=6414, lrate=0.005, error=0.000
    >epoch=6415, lrate=0.005, error=0.000
    >epoch=6416, lrate=0.005, error=0.000
    >epoch=6417, lrate=0.005, error=0.000
    >epoch=6418, lrate=0.005, error=0.000
    >epoch=6419, lrate=0.005, error=0.000
    >epoch=6420, lrate=0.005, error=0.000
    >epoch=6421, lrate=0.005, error=0.000
    >epoch=6422, lrate=0.005, error=0.000
    >epoch=6423, lrate=0.005, error=0.000
    >epoch=6424, lrate=0.005, error=0.000
    >epoch=6425, lrate=0.005, error=0.000
    >epoch=6426, lrate=0.005, error=0.000
    >epoch=6427, lrate=0.005, error=0.000
    >epoch=6428, lrate=0.005, error=0.000
    >epoch=6429, lrate=0.005, error=0.000
    >epoch=6430, lrate=0.005, error=0.000
    >epoch=6431, lrate=0.005, error=0.000
    >epoch=6432, lrate=0.005, error=0.000
    >epoch=6433, lrate=0.005, error=0.000
    >epoch=6434, lrate=0.005, error=0.000
    >epoch=6435, lrate=0.005, error=0.000
    >epoch=6436, lrate=0.005, error=0.000
    >epoch=6437, lrate=0.005, error=0.000
    >epoch=6438, lrate=0.005, error=0.000
    >epoch=6439, lrate=0.005, error=0.000
    >epoch=6440, lrate=0.005, error=0.000
    >epoch=6441, lrate=0.005, error=0.000
    >epoch=6442, lrate=0.005, error=0.000
    >epoch=6443, lrate=0.005, error=0.000
    >epoch=6444, lrate=0.005, error=0.000
    >epoch=6445, lrate=0.005, error=0.000
    >epoch=6446, lrate=0.005, error=0.000
    >epoch=6447, lrate=0.005, error=0.000
    >epoch=6448, lrate=0.005, error=0.000
    >epoch=6449, lrate=0.005, error=0.000
    >epoch=6450, lrate=0.005, error=0.000
    >epoch=6451, lrate=0.005, error=0.000
    >epoch=6452, lrate=0.005, error=0.000
    >epoch=6453, lrate=0.005, error=0.000
    >epoch=6454, lrate=0.005, error=0.000
    >epoch=6455, lrate=0.005, error=0.000
    >epoch=6456, lrate=0.005, error=0.000
    >epoch=6457, lrate=0.005, error=0.000
    >epoch=6458, lrate=0.005, error=0.000
    >epoch=6459, lrate=0.005, error=0.000
    >epoch=6460, lrate=0.005, error=0.000
    >epoch=6461, lrate=0.005, error=0.000
    >epoch=6462, lrate=0.005, error=0.000
    >epoch=6463, lrate=0.005, error=0.000
    >epoch=6464, lrate=0.005, error=0.000
    >epoch=6465, lrate=0.005, error=0.000
    >epoch=6466, lrate=0.005, error=0.000
    >epoch=6467, lrate=0.005, error=0.000
    >epoch=6468, lrate=0.005, error=0.000
    >epoch=6469, lrate=0.005, error=0.000
    >epoch=6470, lrate=0.005, error=0.000
    >epoch=6471, lrate=0.005, error=0.000
    >epoch=6472, lrate=0.005, error=0.000
    >epoch=6473, lrate=0.005, error=0.000
    >epoch=6474, lrate=0.005, error=0.000
    >epoch=6475, lrate=0.005, error=0.000
    >epoch=6476, lrate=0.005, error=0.000
    >epoch=6477, lrate=0.005, error=0.000
    >epoch=6478, lrate=0.005, error=0.000
    >epoch=6479, lrate=0.005, error=0.000
    >epoch=6480, lrate=0.005, error=0.000
    >epoch=6481, lrate=0.005, error=0.000
    >epoch=6482, lrate=0.005, error=0.000
    >epoch=6483, lrate=0.005, error=0.000
    >epoch=6484, lrate=0.005, error=0.000
    >epoch=6485, lrate=0.005, error=0.000
    >epoch=6486, lrate=0.005, error=0.000
    >epoch=6487, lrate=0.005, error=0.000
    >epoch=6488, lrate=0.005, error=0.000
    >epoch=6489, lrate=0.005, error=0.000
    >epoch=6490, lrate=0.005, error=0.000
    >epoch=6491, lrate=0.005, error=0.000
    >epoch=6492, lrate=0.005, error=0.000
    >epoch=6493, lrate=0.005, error=0.000
    >epoch=6494, lrate=0.005, error=0.000
    >epoch=6495, lrate=0.005, error=0.000
    >epoch=6496, lrate=0.005, error=0.000
    >epoch=6497, lrate=0.005, error=0.000
    >epoch=6498, lrate=0.005, error=0.000
    >epoch=6499, lrate=0.005, error=0.000
    >epoch=6500, lrate=0.005, error=0.000
    >epoch=6501, lrate=0.005, error=0.000
    >epoch=6502, lrate=0.005, error=0.000
    >epoch=6503, lrate=0.005, error=0.000
    >epoch=6504, lrate=0.005, error=0.000
    >epoch=6505, lrate=0.005, error=0.000
    >epoch=6506, lrate=0.005, error=0.000
    >epoch=6507, lrate=0.005, error=0.000
    >epoch=6508, lrate=0.005, error=0.000
    >epoch=6509, lrate=0.005, error=0.000
    >epoch=6510, lrate=0.005, error=0.000
    >epoch=6511, lrate=0.005, error=0.000
    >epoch=6512, lrate=0.005, error=0.000
    >epoch=6513, lrate=0.005, error=0.000
    >epoch=6514, lrate=0.005, error=0.000
    >epoch=6515, lrate=0.005, error=0.000
    >epoch=6516, lrate=0.005, error=0.000
    >epoch=6517, lrate=0.005, error=0.000
    >epoch=6518, lrate=0.005, error=0.000
    >epoch=6519, lrate=0.005, error=0.000
    >epoch=6520, lrate=0.005, error=0.000
    >epoch=6521, lrate=0.005, error=0.000
    >epoch=6522, lrate=0.005, error=0.000
    >epoch=6523, lrate=0.005, error=0.000
    >epoch=6524, lrate=0.005, error=0.000
    >epoch=6525, lrate=0.005, error=0.000
    >epoch=6526, lrate=0.005, error=0.000
    >epoch=6527, lrate=0.005, error=0.000
    >epoch=6528, lrate=0.005, error=0.000
    >epoch=6529, lrate=0.005, error=0.000
    >epoch=6530, lrate=0.005, error=0.000
    >epoch=6531, lrate=0.005, error=0.000
    >epoch=6532, lrate=0.005, error=0.000
    >epoch=6533, lrate=0.005, error=0.000
    >epoch=6534, lrate=0.005, error=0.000
    >epoch=6535, lrate=0.005, error=0.000
    >epoch=6536, lrate=0.005, error=0.000
    >epoch=6537, lrate=0.005, error=0.000
    >epoch=6538, lrate=0.005, error=0.000
    >epoch=6539, lrate=0.005, error=0.000
    >epoch=6540, lrate=0.005, error=0.000
    >epoch=6541, lrate=0.005, error=0.000
    >epoch=6542, lrate=0.005, error=0.000
    >epoch=6543, lrate=0.005, error=0.000
    >epoch=6544, lrate=0.005, error=0.000
    >epoch=6545, lrate=0.005, error=0.000
    >epoch=6546, lrate=0.005, error=0.000
    >epoch=6547, lrate=0.005, error=0.000
    >epoch=6548, lrate=0.005, error=0.000
    >epoch=6549, lrate=0.005, error=0.000
    >epoch=6550, lrate=0.005, error=0.000
    >epoch=6551, lrate=0.005, error=0.000
    >epoch=6552, lrate=0.005, error=0.000
    >epoch=6553, lrate=0.005, error=0.000
    >epoch=6554, lrate=0.005, error=0.000
    >epoch=6555, lrate=0.005, error=0.000
    >epoch=6556, lrate=0.005, error=0.000
    >epoch=6557, lrate=0.005, error=0.000
    >epoch=6558, lrate=0.005, error=0.000
    >epoch=6559, lrate=0.005, error=0.000
    >epoch=6560, lrate=0.005, error=0.000
    >epoch=6561, lrate=0.005, error=0.000
    >epoch=6562, lrate=0.005, error=0.000
    >epoch=6563, lrate=0.005, error=0.000
    >epoch=6564, lrate=0.005, error=0.000
    >epoch=6565, lrate=0.005, error=0.000
    >epoch=6566, lrate=0.005, error=0.000
    >epoch=6567, lrate=0.005, error=0.000
    >epoch=6568, lrate=0.005, error=0.000
    >epoch=6569, lrate=0.005, error=0.000
    >epoch=6570, lrate=0.005, error=0.000
    >epoch=6571, lrate=0.005, error=0.000
    >epoch=6572, lrate=0.005, error=0.000
    >epoch=6573, lrate=0.005, error=0.000
    >epoch=6574, lrate=0.005, error=0.000
    >epoch=6575, lrate=0.005, error=0.000
    >epoch=6576, lrate=0.005, error=0.000
    >epoch=6577, lrate=0.005, error=0.000
    >epoch=6578, lrate=0.005, error=0.000
    >epoch=6579, lrate=0.005, error=0.000
    >epoch=6580, lrate=0.005, error=0.000
    >epoch=6581, lrate=0.005, error=0.000
    >epoch=6582, lrate=0.005, error=0.000
    >epoch=6583, lrate=0.005, error=0.000
    >epoch=6584, lrate=0.005, error=0.000
    >epoch=6585, lrate=0.005, error=0.000
    >epoch=6586, lrate=0.005, error=0.000
    >epoch=6587, lrate=0.005, error=0.000
    >epoch=6588, lrate=0.005, error=0.000
    >epoch=6589, lrate=0.005, error=0.000
    >epoch=6590, lrate=0.005, error=0.000
    >epoch=6591, lrate=0.005, error=0.000
    >epoch=6592, lrate=0.005, error=0.000
    >epoch=6593, lrate=0.005, error=0.000
    >epoch=6594, lrate=0.005, error=0.000
    >epoch=6595, lrate=0.005, error=0.000
    >epoch=6596, lrate=0.005, error=0.000
    >epoch=6597, lrate=0.005, error=0.000
    >epoch=6598, lrate=0.005, error=0.000
    >epoch=6599, lrate=0.005, error=0.000
    >epoch=6600, lrate=0.005, error=0.000
    >epoch=6601, lrate=0.005, error=0.000
    >epoch=6602, lrate=0.005, error=0.000
    >epoch=6603, lrate=0.005, error=0.000
    >epoch=6604, lrate=0.005, error=0.000
    >epoch=6605, lrate=0.005, error=0.000
    >epoch=6606, lrate=0.005, error=0.000
    >epoch=6607, lrate=0.005, error=0.000
    >epoch=6608, lrate=0.005, error=0.000
    >epoch=6609, lrate=0.005, error=0.000
    >epoch=6610, lrate=0.005, error=0.000
    >epoch=6611, lrate=0.005, error=0.000
    >epoch=6612, lrate=0.005, error=0.000
    >epoch=6613, lrate=0.005, error=0.000
    >epoch=6614, lrate=0.005, error=0.000
    >epoch=6615, lrate=0.005, error=0.000
    >epoch=6616, lrate=0.005, error=0.000
    >epoch=6617, lrate=0.005, error=0.000
    >epoch=6618, lrate=0.005, error=0.000
    >epoch=6619, lrate=0.005, error=0.000
    >epoch=6620, lrate=0.005, error=0.000
    >epoch=6621, lrate=0.005, error=0.000
    >epoch=6622, lrate=0.005, error=0.000
    >epoch=6623, lrate=0.005, error=0.000
    >epoch=6624, lrate=0.005, error=0.000
    >epoch=6625, lrate=0.005, error=0.000
    >epoch=6626, lrate=0.005, error=0.000
    >epoch=6627, lrate=0.005, error=0.000
    >epoch=6628, lrate=0.005, error=0.000
    >epoch=6629, lrate=0.005, error=0.000
    >epoch=6630, lrate=0.005, error=0.000
    >epoch=6631, lrate=0.005, error=0.000
    >epoch=6632, lrate=0.005, error=0.000
    >epoch=6633, lrate=0.005, error=0.000
    >epoch=6634, lrate=0.005, error=0.000
    >epoch=6635, lrate=0.005, error=0.000
    >epoch=6636, lrate=0.005, error=0.000
    >epoch=6637, lrate=0.005, error=0.000
    >epoch=6638, lrate=0.005, error=0.000
    >epoch=6639, lrate=0.005, error=0.000
    >epoch=6640, lrate=0.005, error=0.000
    >epoch=6641, lrate=0.005, error=0.000
    >epoch=6642, lrate=0.005, error=0.000
    >epoch=6643, lrate=0.005, error=0.000
    >epoch=6644, lrate=0.005, error=0.000
    >epoch=6645, lrate=0.005, error=0.000
    >epoch=6646, lrate=0.005, error=0.000
    >epoch=6647, lrate=0.005, error=0.000
    >epoch=6648, lrate=0.005, error=0.000
    >epoch=6649, lrate=0.005, error=0.000
    >epoch=6650, lrate=0.005, error=0.000
    >epoch=6651, lrate=0.005, error=0.000
    >epoch=6652, lrate=0.005, error=0.000
    >epoch=6653, lrate=0.005, error=0.000
    >epoch=6654, lrate=0.005, error=0.000
    >epoch=6655, lrate=0.005, error=0.000
    >epoch=6656, lrate=0.005, error=0.000
    >epoch=6657, lrate=0.005, error=0.000
    >epoch=6658, lrate=0.005, error=0.000
    >epoch=6659, lrate=0.005, error=0.000
    >epoch=6660, lrate=0.005, error=0.000
    >epoch=6661, lrate=0.005, error=0.000
    >epoch=6662, lrate=0.005, error=0.000
    >epoch=6663, lrate=0.005, error=0.000
    >epoch=6664, lrate=0.005, error=0.000
    >epoch=6665, lrate=0.005, error=0.000
    >epoch=6666, lrate=0.005, error=0.000
    >epoch=6667, lrate=0.005, error=0.000
    >epoch=6668, lrate=0.005, error=0.000
    >epoch=6669, lrate=0.005, error=0.000
    >epoch=6670, lrate=0.005, error=0.000
    >epoch=6671, lrate=0.005, error=0.000
    >epoch=6672, lrate=0.005, error=0.000
    >epoch=6673, lrate=0.005, error=0.000
    >epoch=6674, lrate=0.005, error=0.000
    >epoch=6675, lrate=0.005, error=0.000
    >epoch=6676, lrate=0.005, error=0.000
    >epoch=6677, lrate=0.005, error=0.000
    >epoch=6678, lrate=0.005, error=0.000
    >epoch=6679, lrate=0.005, error=0.000
    >epoch=6680, lrate=0.005, error=0.000
    >epoch=6681, lrate=0.005, error=0.000
    >epoch=6682, lrate=0.005, error=0.000
    >epoch=6683, lrate=0.005, error=0.000
    >epoch=6684, lrate=0.005, error=0.000
    >epoch=6685, lrate=0.005, error=0.000
    >epoch=6686, lrate=0.005, error=0.000
    >epoch=6687, lrate=0.005, error=0.000
    >epoch=6688, lrate=0.005, error=0.000
    >epoch=6689, lrate=0.005, error=0.000
    >epoch=6690, lrate=0.005, error=0.000
    >epoch=6691, lrate=0.005, error=0.000
    >epoch=6692, lrate=0.005, error=0.000
    >epoch=6693, lrate=0.005, error=0.000
    >epoch=6694, lrate=0.005, error=0.000
    >epoch=6695, lrate=0.005, error=0.000
    >epoch=6696, lrate=0.005, error=0.000
    >epoch=6697, lrate=0.005, error=0.000
    >epoch=6698, lrate=0.005, error=0.000
    >epoch=6699, lrate=0.005, error=0.000
    >epoch=6700, lrate=0.005, error=0.000
    >epoch=6701, lrate=0.005, error=0.000
    >epoch=6702, lrate=0.005, error=0.000
    >epoch=6703, lrate=0.005, error=0.000
    >epoch=6704, lrate=0.005, error=0.000
    >epoch=6705, lrate=0.005, error=0.000
    >epoch=6706, lrate=0.005, error=0.000
    >epoch=6707, lrate=0.005, error=0.000
    >epoch=6708, lrate=0.005, error=0.000
    >epoch=6709, lrate=0.005, error=0.000
    >epoch=6710, lrate=0.005, error=0.000
    >epoch=6711, lrate=0.005, error=0.000
    >epoch=6712, lrate=0.005, error=0.000
    >epoch=6713, lrate=0.005, error=0.000
    >epoch=6714, lrate=0.005, error=0.000
    >epoch=6715, lrate=0.005, error=0.000
    >epoch=6716, lrate=0.005, error=0.000
    >epoch=6717, lrate=0.005, error=0.000
    >epoch=6718, lrate=0.005, error=0.000
    >epoch=6719, lrate=0.005, error=0.000
    >epoch=6720, lrate=0.005, error=0.000
    >epoch=6721, lrate=0.005, error=0.000
    >epoch=6722, lrate=0.005, error=0.000
    >epoch=6723, lrate=0.005, error=0.000
    >epoch=6724, lrate=0.005, error=0.000
    >epoch=6725, lrate=0.005, error=0.000
    >epoch=6726, lrate=0.005, error=0.000
    >epoch=6727, lrate=0.005, error=0.000
    >epoch=6728, lrate=0.005, error=0.000
    >epoch=6729, lrate=0.005, error=0.000
    >epoch=6730, lrate=0.005, error=0.000
    >epoch=6731, lrate=0.005, error=0.000
    >epoch=6732, lrate=0.005, error=0.000
    >epoch=6733, lrate=0.005, error=0.000
    >epoch=6734, lrate=0.005, error=0.000
    >epoch=6735, lrate=0.005, error=0.000
    >epoch=6736, lrate=0.005, error=0.000
    >epoch=6737, lrate=0.005, error=0.000
    >epoch=6738, lrate=0.005, error=0.000
    >epoch=6739, lrate=0.005, error=0.000
    >epoch=6740, lrate=0.005, error=0.000
    >epoch=6741, lrate=0.005, error=0.000
    >epoch=6742, lrate=0.005, error=0.000
    >epoch=6743, lrate=0.005, error=0.000
    >epoch=6744, lrate=0.005, error=0.000
    >epoch=6745, lrate=0.005, error=0.000
    >epoch=6746, lrate=0.005, error=0.000
    >epoch=6747, lrate=0.005, error=0.000
    >epoch=6748, lrate=0.005, error=0.000
    >epoch=6749, lrate=0.005, error=0.000
    >epoch=6750, lrate=0.005, error=0.000
    >epoch=6751, lrate=0.005, error=0.000
    >epoch=6752, lrate=0.005, error=0.000
    >epoch=6753, lrate=0.005, error=0.000
    >epoch=6754, lrate=0.005, error=0.000
    >epoch=6755, lrate=0.005, error=0.000
    >epoch=6756, lrate=0.005, error=0.000
    >epoch=6757, lrate=0.005, error=0.000
    >epoch=6758, lrate=0.005, error=0.000
    >epoch=6759, lrate=0.005, error=0.000
    >epoch=6760, lrate=0.005, error=0.000
    >epoch=6761, lrate=0.005, error=0.000
    >epoch=6762, lrate=0.005, error=0.000
    >epoch=6763, lrate=0.005, error=0.000
    >epoch=6764, lrate=0.005, error=0.000
    >epoch=6765, lrate=0.005, error=0.000
    >epoch=6766, lrate=0.005, error=0.000
    >epoch=6767, lrate=0.005, error=0.000
    >epoch=6768, lrate=0.005, error=0.000
    >epoch=6769, lrate=0.005, error=0.000
    >epoch=6770, lrate=0.005, error=0.000
    >epoch=6771, lrate=0.005, error=0.000
    >epoch=6772, lrate=0.005, error=0.000
    >epoch=6773, lrate=0.005, error=0.000
    >epoch=6774, lrate=0.005, error=0.000
    >epoch=6775, lrate=0.005, error=0.000
    >epoch=6776, lrate=0.005, error=0.000
    >epoch=6777, lrate=0.005, error=0.000
    >epoch=6778, lrate=0.005, error=0.000
    >epoch=6779, lrate=0.005, error=0.000
    >epoch=6780, lrate=0.005, error=0.000
    >epoch=6781, lrate=0.005, error=0.000
    >epoch=6782, lrate=0.005, error=0.000
    >epoch=6783, lrate=0.005, error=0.000
    >epoch=6784, lrate=0.005, error=0.000
    >epoch=6785, lrate=0.005, error=0.000
    >epoch=6786, lrate=0.005, error=0.000
    >epoch=6787, lrate=0.005, error=0.000
    >epoch=6788, lrate=0.005, error=0.000
    >epoch=6789, lrate=0.005, error=0.000
    >epoch=6790, lrate=0.005, error=0.000
    >epoch=6791, lrate=0.005, error=0.000
    >epoch=6792, lrate=0.005, error=0.000
    >epoch=6793, lrate=0.005, error=0.000
    >epoch=6794, lrate=0.005, error=0.000
    >epoch=6795, lrate=0.005, error=0.000
    >epoch=6796, lrate=0.005, error=0.000
    >epoch=6797, lrate=0.005, error=0.000
    >epoch=6798, lrate=0.005, error=0.000
    >epoch=6799, lrate=0.005, error=0.000
    >epoch=6800, lrate=0.005, error=0.000
    >epoch=6801, lrate=0.005, error=0.000
    >epoch=6802, lrate=0.005, error=0.000
    >epoch=6803, lrate=0.005, error=0.000
    >epoch=6804, lrate=0.005, error=0.000
    >epoch=6805, lrate=0.005, error=0.000
    >epoch=6806, lrate=0.005, error=0.000
    >epoch=6807, lrate=0.005, error=0.000
    >epoch=6808, lrate=0.005, error=0.000
    >epoch=6809, lrate=0.005, error=0.000
    >epoch=6810, lrate=0.005, error=0.000
    >epoch=6811, lrate=0.005, error=0.000
    >epoch=6812, lrate=0.005, error=0.000
    >epoch=6813, lrate=0.005, error=0.000
    >epoch=6814, lrate=0.005, error=0.000
    >epoch=6815, lrate=0.005, error=0.000
    >epoch=6816, lrate=0.005, error=0.000
    >epoch=6817, lrate=0.005, error=0.000
    >epoch=6818, lrate=0.005, error=0.000
    >epoch=6819, lrate=0.005, error=0.000
    >epoch=6820, lrate=0.005, error=0.000
    >epoch=6821, lrate=0.005, error=0.000
    >epoch=6822, lrate=0.005, error=0.000
    >epoch=6823, lrate=0.005, error=0.000
    >epoch=6824, lrate=0.005, error=0.000
    >epoch=6825, lrate=0.005, error=0.000
    >epoch=6826, lrate=0.005, error=0.000
    >epoch=6827, lrate=0.005, error=0.000
    >epoch=6828, lrate=0.005, error=0.000
    >epoch=6829, lrate=0.005, error=0.000
    >epoch=6830, lrate=0.005, error=0.000
    >epoch=6831, lrate=0.005, error=0.000
    >epoch=6832, lrate=0.005, error=0.000
    >epoch=6833, lrate=0.005, error=0.000
    >epoch=6834, lrate=0.005, error=0.000
    >epoch=6835, lrate=0.005, error=0.000
    >epoch=6836, lrate=0.005, error=0.000
    >epoch=6837, lrate=0.005, error=0.000
    >epoch=6838, lrate=0.005, error=0.000
    >epoch=6839, lrate=0.005, error=0.000
    >epoch=6840, lrate=0.005, error=0.000
    >epoch=6841, lrate=0.005, error=0.000
    >epoch=6842, lrate=0.005, error=0.000
    >epoch=6843, lrate=0.005, error=0.000
    >epoch=6844, lrate=0.005, error=0.000
    >epoch=6845, lrate=0.005, error=0.000
    >epoch=6846, lrate=0.005, error=0.000
    >epoch=6847, lrate=0.005, error=0.000
    >epoch=6848, lrate=0.005, error=0.000
    >epoch=6849, lrate=0.005, error=0.000
    >epoch=6850, lrate=0.005, error=0.000
    >epoch=6851, lrate=0.005, error=0.000
    >epoch=6852, lrate=0.005, error=0.000
    >epoch=6853, lrate=0.005, error=0.000
    >epoch=6854, lrate=0.005, error=0.000
    >epoch=6855, lrate=0.005, error=0.000
    >epoch=6856, lrate=0.005, error=0.000
    >epoch=6857, lrate=0.005, error=0.000
    >epoch=6858, lrate=0.005, error=0.000
    >epoch=6859, lrate=0.005, error=0.000
    >epoch=6860, lrate=0.005, error=0.000
    >epoch=6861, lrate=0.005, error=0.000
    >epoch=6862, lrate=0.005, error=0.000
    >epoch=6863, lrate=0.005, error=0.000
    >epoch=6864, lrate=0.005, error=0.000
    >epoch=6865, lrate=0.005, error=0.000
    >epoch=6866, lrate=0.005, error=0.000
    >epoch=6867, lrate=0.005, error=0.000
    >epoch=6868, lrate=0.005, error=0.000
    >epoch=6869, lrate=0.005, error=0.000
    >epoch=6870, lrate=0.005, error=0.000
    >epoch=6871, lrate=0.005, error=0.000
    >epoch=6872, lrate=0.005, error=0.000
    >epoch=6873, lrate=0.005, error=0.000
    >epoch=6874, lrate=0.005, error=0.000
    >epoch=6875, lrate=0.005, error=0.000
    >epoch=6876, lrate=0.005, error=0.000
    >epoch=6877, lrate=0.005, error=0.000
    >epoch=6878, lrate=0.005, error=0.000
    >epoch=6879, lrate=0.005, error=0.000
    >epoch=6880, lrate=0.005, error=0.000
    >epoch=6881, lrate=0.005, error=0.000
    >epoch=6882, lrate=0.005, error=0.000
    >epoch=6883, lrate=0.005, error=0.000
    >epoch=6884, lrate=0.005, error=0.000
    >epoch=6885, lrate=0.005, error=0.000
    >epoch=6886, lrate=0.005, error=0.000
    >epoch=6887, lrate=0.005, error=0.000
    >epoch=6888, lrate=0.005, error=0.000
    >epoch=6889, lrate=0.005, error=0.000
    >epoch=6890, lrate=0.005, error=0.000
    >epoch=6891, lrate=0.005, error=0.000
    >epoch=6892, lrate=0.005, error=0.000
    >epoch=6893, lrate=0.005, error=0.000
    >epoch=6894, lrate=0.005, error=0.000
    >epoch=6895, lrate=0.005, error=0.000
    >epoch=6896, lrate=0.005, error=0.000
    >epoch=6897, lrate=0.005, error=0.000
    >epoch=6898, lrate=0.005, error=0.000
    >epoch=6899, lrate=0.005, error=0.000
    >epoch=6900, lrate=0.005, error=0.000
    >epoch=6901, lrate=0.005, error=0.000
    >epoch=6902, lrate=0.005, error=0.000
    >epoch=6903, lrate=0.005, error=0.000
    >epoch=6904, lrate=0.005, error=0.000
    >epoch=6905, lrate=0.005, error=0.000
    >epoch=6906, lrate=0.005, error=0.000
    >epoch=6907, lrate=0.005, error=0.000
    >epoch=6908, lrate=0.005, error=0.000
    >epoch=6909, lrate=0.005, error=0.000
    >epoch=6910, lrate=0.005, error=0.000
    >epoch=6911, lrate=0.005, error=0.000
    >epoch=6912, lrate=0.005, error=0.000
    >epoch=6913, lrate=0.005, error=0.000
    >epoch=6914, lrate=0.005, error=0.000
    >epoch=6915, lrate=0.005, error=0.000
    >epoch=6916, lrate=0.005, error=0.000
    >epoch=6917, lrate=0.005, error=0.000
    >epoch=6918, lrate=0.005, error=0.000
    >epoch=6919, lrate=0.005, error=0.000
    >epoch=6920, lrate=0.005, error=0.000
    >epoch=6921, lrate=0.005, error=0.000
    >epoch=6922, lrate=0.005, error=0.000
    >epoch=6923, lrate=0.005, error=0.000
    >epoch=6924, lrate=0.005, error=0.000
    >epoch=6925, lrate=0.005, error=0.000
    >epoch=6926, lrate=0.005, error=0.000
    >epoch=6927, lrate=0.005, error=0.000
    >epoch=6928, lrate=0.005, error=0.000
    >epoch=6929, lrate=0.005, error=0.000
    >epoch=6930, lrate=0.005, error=0.000
    >epoch=6931, lrate=0.005, error=0.000
    >epoch=6932, lrate=0.005, error=0.000
    >epoch=6933, lrate=0.005, error=0.000
    >epoch=6934, lrate=0.005, error=0.000
    >epoch=6935, lrate=0.005, error=0.000
    >epoch=6936, lrate=0.005, error=0.000
    >epoch=6937, lrate=0.005, error=0.000
    >epoch=6938, lrate=0.005, error=0.000
    >epoch=6939, lrate=0.005, error=0.000
    >epoch=6940, lrate=0.005, error=0.000
    >epoch=6941, lrate=0.005, error=0.000
    >epoch=6942, lrate=0.005, error=0.000
    >epoch=6943, lrate=0.005, error=0.000
    >epoch=6944, lrate=0.005, error=0.000
    >epoch=6945, lrate=0.005, error=0.000
    >epoch=6946, lrate=0.005, error=0.000
    >epoch=6947, lrate=0.005, error=0.000
    >epoch=6948, lrate=0.005, error=0.000
    >epoch=6949, lrate=0.005, error=0.000
    >epoch=6950, lrate=0.005, error=0.000
    >epoch=6951, lrate=0.005, error=0.000
    >epoch=6952, lrate=0.005, error=0.000
    >epoch=6953, lrate=0.005, error=0.000
    >epoch=6954, lrate=0.005, error=0.000
    >epoch=6955, lrate=0.005, error=0.000
    >epoch=6956, lrate=0.005, error=0.000
    >epoch=6957, lrate=0.005, error=0.000
    >epoch=6958, lrate=0.005, error=0.000
    >epoch=6959, lrate=0.005, error=0.000
    >epoch=6960, lrate=0.005, error=0.000
    >epoch=6961, lrate=0.005, error=0.000
    >epoch=6962, lrate=0.005, error=0.000
    >epoch=6963, lrate=0.005, error=0.000
    >epoch=6964, lrate=0.005, error=0.000
    >epoch=6965, lrate=0.005, error=0.000
    >epoch=6966, lrate=0.005, error=0.000
    >epoch=6967, lrate=0.005, error=0.000
    >epoch=6968, lrate=0.005, error=0.000
    >epoch=6969, lrate=0.005, error=0.000
    >epoch=6970, lrate=0.005, error=0.000
    >epoch=6971, lrate=0.005, error=0.000
    >epoch=6972, lrate=0.005, error=0.000
    >epoch=6973, lrate=0.005, error=0.000
    >epoch=6974, lrate=0.005, error=0.000
    >epoch=6975, lrate=0.005, error=0.000
    >epoch=6976, lrate=0.005, error=0.000
    >epoch=6977, lrate=0.005, error=0.000
    >epoch=6978, lrate=0.005, error=0.000
    >epoch=6979, lrate=0.005, error=0.000
    >epoch=6980, lrate=0.005, error=0.000
    >epoch=6981, lrate=0.005, error=0.000
    >epoch=6982, lrate=0.005, error=0.000
    >epoch=6983, lrate=0.005, error=0.000
    >epoch=6984, lrate=0.005, error=0.000
    >epoch=6985, lrate=0.005, error=0.000
    >epoch=6986, lrate=0.005, error=0.000
    >epoch=6987, lrate=0.005, error=0.000
    >epoch=6988, lrate=0.005, error=0.000
    >epoch=6989, lrate=0.005, error=0.000
    >epoch=6990, lrate=0.005, error=0.000
    >epoch=6991, lrate=0.005, error=0.000
    >epoch=6992, lrate=0.005, error=0.000
    >epoch=6993, lrate=0.005, error=0.000
    >epoch=6994, lrate=0.005, error=0.000
    >epoch=6995, lrate=0.005, error=0.000
    >epoch=6996, lrate=0.005, error=0.000
    >epoch=6997, lrate=0.005, error=0.000
    >epoch=6998, lrate=0.005, error=0.000
    >epoch=6999, lrate=0.005, error=0.000
    >epoch=7000, lrate=0.005, error=0.000
    >epoch=7001, lrate=0.005, error=0.000
    >epoch=7002, lrate=0.005, error=0.000
    >epoch=7003, lrate=0.005, error=0.000
    >epoch=7004, lrate=0.005, error=0.000
    >epoch=7005, lrate=0.005, error=0.000
    >epoch=7006, lrate=0.005, error=0.000
    >epoch=7007, lrate=0.005, error=0.000
    >epoch=7008, lrate=0.005, error=0.000
    >epoch=7009, lrate=0.005, error=0.000
    >epoch=7010, lrate=0.005, error=0.000
    >epoch=7011, lrate=0.005, error=0.000
    >epoch=7012, lrate=0.005, error=0.000
    >epoch=7013, lrate=0.005, error=0.000
    >epoch=7014, lrate=0.005, error=0.000
    >epoch=7015, lrate=0.005, error=0.000
    >epoch=7016, lrate=0.005, error=0.000
    >epoch=7017, lrate=0.005, error=0.000
    >epoch=7018, lrate=0.005, error=0.000
    >epoch=7019, lrate=0.005, error=0.000
    >epoch=7020, lrate=0.005, error=0.000
    >epoch=7021, lrate=0.005, error=0.000
    >epoch=7022, lrate=0.005, error=0.000
    >epoch=7023, lrate=0.005, error=0.000
    >epoch=7024, lrate=0.005, error=0.000
    >epoch=7025, lrate=0.005, error=0.000
    >epoch=7026, lrate=0.005, error=0.000
    >epoch=7027, lrate=0.005, error=0.000
    >epoch=7028, lrate=0.005, error=0.000
    >epoch=7029, lrate=0.005, error=0.000
    >epoch=7030, lrate=0.005, error=0.000
    >epoch=7031, lrate=0.005, error=0.000
    >epoch=7032, lrate=0.005, error=0.000
    >epoch=7033, lrate=0.005, error=0.000
    >epoch=7034, lrate=0.005, error=0.000
    >epoch=7035, lrate=0.005, error=0.000
    >epoch=7036, lrate=0.005, error=0.000
    >epoch=7037, lrate=0.005, error=0.000
    >epoch=7038, lrate=0.005, error=0.000
    >epoch=7039, lrate=0.005, error=0.000
    >epoch=7040, lrate=0.005, error=0.000
    >epoch=7041, lrate=0.005, error=0.000
    >epoch=7042, lrate=0.005, error=0.000
    >epoch=7043, lrate=0.005, error=0.000
    >epoch=7044, lrate=0.005, error=0.000
    >epoch=7045, lrate=0.005, error=0.000
    >epoch=7046, lrate=0.005, error=0.000
    >epoch=7047, lrate=0.005, error=0.000
    >epoch=7048, lrate=0.005, error=0.000
    >epoch=7049, lrate=0.005, error=0.000
    >epoch=7050, lrate=0.005, error=0.000
    >epoch=7051, lrate=0.005, error=0.000
    >epoch=7052, lrate=0.005, error=0.000
    >epoch=7053, lrate=0.005, error=0.000
    >epoch=7054, lrate=0.005, error=0.000
    >epoch=7055, lrate=0.005, error=0.000
    >epoch=7056, lrate=0.005, error=0.000
    >epoch=7057, lrate=0.005, error=0.000
    >epoch=7058, lrate=0.005, error=0.000
    >epoch=7059, lrate=0.005, error=0.000
    >epoch=7060, lrate=0.005, error=0.000
    >epoch=7061, lrate=0.005, error=0.000
    >epoch=7062, lrate=0.005, error=0.000
    >epoch=7063, lrate=0.005, error=0.000
    >epoch=7064, lrate=0.005, error=0.000
    >epoch=7065, lrate=0.005, error=0.000
    >epoch=7066, lrate=0.005, error=0.000
    >epoch=7067, lrate=0.005, error=0.000
    >epoch=7068, lrate=0.005, error=0.000
    >epoch=7069, lrate=0.005, error=0.000
    >epoch=7070, lrate=0.005, error=0.000
    >epoch=7071, lrate=0.005, error=0.000
    >epoch=7072, lrate=0.005, error=0.000
    >epoch=7073, lrate=0.005, error=0.000
    >epoch=7074, lrate=0.005, error=0.000
    >epoch=7075, lrate=0.005, error=0.000
    >epoch=7076, lrate=0.005, error=0.000
    >epoch=7077, lrate=0.005, error=0.000
    >epoch=7078, lrate=0.005, error=0.000
    >epoch=7079, lrate=0.005, error=0.000
    >epoch=7080, lrate=0.005, error=0.000
    >epoch=7081, lrate=0.005, error=0.000
    >epoch=7082, lrate=0.005, error=0.000
    >epoch=7083, lrate=0.005, error=0.000
    >epoch=7084, lrate=0.005, error=0.000
    >epoch=7085, lrate=0.005, error=0.000
    >epoch=7086, lrate=0.005, error=0.000
    >epoch=7087, lrate=0.005, error=0.000
    >epoch=7088, lrate=0.005, error=0.000
    >epoch=7089, lrate=0.005, error=0.000
    >epoch=7090, lrate=0.005, error=0.000
    >epoch=7091, lrate=0.005, error=0.000
    >epoch=7092, lrate=0.005, error=0.000
    >epoch=7093, lrate=0.005, error=0.000
    >epoch=7094, lrate=0.005, error=0.000
    >epoch=7095, lrate=0.005, error=0.000
    >epoch=7096, lrate=0.005, error=0.000
    >epoch=7097, lrate=0.005, error=0.000
    >epoch=7098, lrate=0.005, error=0.000
    >epoch=7099, lrate=0.005, error=0.000
    >epoch=7100, lrate=0.005, error=0.000
    >epoch=7101, lrate=0.005, error=0.000
    >epoch=7102, lrate=0.005, error=0.000
    >epoch=7103, lrate=0.005, error=0.000
    >epoch=7104, lrate=0.005, error=0.000
    >epoch=7105, lrate=0.005, error=0.000
    >epoch=7106, lrate=0.005, error=0.000
    >epoch=7107, lrate=0.005, error=0.000
    >epoch=7108, lrate=0.005, error=0.000
    >epoch=7109, lrate=0.005, error=0.000
    >epoch=7110, lrate=0.005, error=0.000
    >epoch=7111, lrate=0.005, error=0.000
    >epoch=7112, lrate=0.005, error=0.000
    >epoch=7113, lrate=0.005, error=0.000
    >epoch=7114, lrate=0.005, error=0.000
    >epoch=7115, lrate=0.005, error=0.000
    >epoch=7116, lrate=0.005, error=0.000
    >epoch=7117, lrate=0.005, error=0.000
    >epoch=7118, lrate=0.005, error=0.000
    >epoch=7119, lrate=0.005, error=0.000
    >epoch=7120, lrate=0.005, error=0.000
    >epoch=7121, lrate=0.005, error=0.000
    >epoch=7122, lrate=0.005, error=0.000
    >epoch=7123, lrate=0.005, error=0.000
    >epoch=7124, lrate=0.005, error=0.000
    >epoch=7125, lrate=0.005, error=0.000
    >epoch=7126, lrate=0.005, error=0.000
    >epoch=7127, lrate=0.005, error=0.000
    >epoch=7128, lrate=0.005, error=0.000
    >epoch=7129, lrate=0.005, error=0.000
    >epoch=7130, lrate=0.005, error=0.000
    >epoch=7131, lrate=0.005, error=0.000
    >epoch=7132, lrate=0.005, error=0.000
    >epoch=7133, lrate=0.005, error=0.000
    >epoch=7134, lrate=0.005, error=0.000
    >epoch=7135, lrate=0.005, error=0.000
    >epoch=7136, lrate=0.005, error=0.000
    >epoch=7137, lrate=0.005, error=0.000
    >epoch=7138, lrate=0.005, error=0.000
    >epoch=7139, lrate=0.005, error=0.000
    >epoch=7140, lrate=0.005, error=0.000
    >epoch=7141, lrate=0.005, error=0.000
    >epoch=7142, lrate=0.005, error=0.000
    >epoch=7143, lrate=0.005, error=0.000
    >epoch=7144, lrate=0.005, error=0.000
    >epoch=7145, lrate=0.005, error=0.000
    >epoch=7146, lrate=0.005, error=0.000
    >epoch=7147, lrate=0.005, error=0.000
    >epoch=7148, lrate=0.005, error=0.000
    >epoch=7149, lrate=0.005, error=0.000
    >epoch=7150, lrate=0.005, error=0.000
    >epoch=7151, lrate=0.005, error=0.000
    >epoch=7152, lrate=0.005, error=0.000
    >epoch=7153, lrate=0.005, error=0.000
    >epoch=7154, lrate=0.005, error=0.000
    >epoch=7155, lrate=0.005, error=0.000
    >epoch=7156, lrate=0.005, error=0.000
    >epoch=7157, lrate=0.005, error=0.000
    >epoch=7158, lrate=0.005, error=0.000
    >epoch=7159, lrate=0.005, error=0.000
    >epoch=7160, lrate=0.005, error=0.000
    >epoch=7161, lrate=0.005, error=0.000
    >epoch=7162, lrate=0.005, error=0.000
    >epoch=7163, lrate=0.005, error=0.000
    >epoch=7164, lrate=0.005, error=0.000
    >epoch=7165, lrate=0.005, error=0.000
    >epoch=7166, lrate=0.005, error=0.000
    >epoch=7167, lrate=0.005, error=0.000
    >epoch=7168, lrate=0.005, error=0.000
    >epoch=7169, lrate=0.005, error=0.000
    >epoch=7170, lrate=0.005, error=0.000
    >epoch=7171, lrate=0.005, error=0.000
    >epoch=7172, lrate=0.005, error=0.000
    >epoch=7173, lrate=0.005, error=0.000
    >epoch=7174, lrate=0.005, error=0.000
    >epoch=7175, lrate=0.005, error=0.000
    >epoch=7176, lrate=0.005, error=0.000
    >epoch=7177, lrate=0.005, error=0.000
    >epoch=7178, lrate=0.005, error=0.000
    >epoch=7179, lrate=0.005, error=0.000
    >epoch=7180, lrate=0.005, error=0.000
    >epoch=7181, lrate=0.005, error=0.000
    >epoch=7182, lrate=0.005, error=0.000
    >epoch=7183, lrate=0.005, error=0.000
    >epoch=7184, lrate=0.005, error=0.000
    >epoch=7185, lrate=0.005, error=0.000
    >epoch=7186, lrate=0.005, error=0.000
    >epoch=7187, lrate=0.005, error=0.000
    >epoch=7188, lrate=0.005, error=0.000
    >epoch=7189, lrate=0.005, error=0.000
    >epoch=7190, lrate=0.005, error=0.000
    >epoch=7191, lrate=0.005, error=0.000
    >epoch=7192, lrate=0.005, error=0.000
    >epoch=7193, lrate=0.005, error=0.000
    >epoch=7194, lrate=0.005, error=0.000
    >epoch=7195, lrate=0.005, error=0.000
    >epoch=7196, lrate=0.005, error=0.000
    >epoch=7197, lrate=0.005, error=0.000
    >epoch=7198, lrate=0.005, error=0.000
    >epoch=7199, lrate=0.005, error=0.000
    >epoch=7200, lrate=0.005, error=0.000
    >epoch=7201, lrate=0.005, error=0.000
    >epoch=7202, lrate=0.005, error=0.000
    >epoch=7203, lrate=0.005, error=0.000
    >epoch=7204, lrate=0.005, error=0.000
    >epoch=7205, lrate=0.005, error=0.000
    >epoch=7206, lrate=0.005, error=0.000
    >epoch=7207, lrate=0.005, error=0.000
    >epoch=7208, lrate=0.005, error=0.000
    >epoch=7209, lrate=0.005, error=0.000
    >epoch=7210, lrate=0.005, error=0.000
    >epoch=7211, lrate=0.005, error=0.000
    >epoch=7212, lrate=0.005, error=0.000
    >epoch=7213, lrate=0.005, error=0.000
    >epoch=7214, lrate=0.005, error=0.000
    >epoch=7215, lrate=0.005, error=0.000
    >epoch=7216, lrate=0.005, error=0.000
    >epoch=7217, lrate=0.005, error=0.000
    >epoch=7218, lrate=0.005, error=0.000
    >epoch=7219, lrate=0.005, error=0.000
    >epoch=7220, lrate=0.005, error=0.000
    >epoch=7221, lrate=0.005, error=0.000
    >epoch=7222, lrate=0.005, error=0.000
    >epoch=7223, lrate=0.005, error=0.000
    >epoch=7224, lrate=0.005, error=0.000
    >epoch=7225, lrate=0.005, error=0.000
    >epoch=7226, lrate=0.005, error=0.000
    >epoch=7227, lrate=0.005, error=0.000
    >epoch=7228, lrate=0.005, error=0.000
    >epoch=7229, lrate=0.005, error=0.000
    >epoch=7230, lrate=0.005, error=0.000
    >epoch=7231, lrate=0.005, error=0.000
    >epoch=7232, lrate=0.005, error=0.000
    >epoch=7233, lrate=0.005, error=0.000
    >epoch=7234, lrate=0.005, error=0.000
    >epoch=7235, lrate=0.005, error=0.000
    >epoch=7236, lrate=0.005, error=0.000
    >epoch=7237, lrate=0.005, error=0.000
    >epoch=7238, lrate=0.005, error=0.000
    >epoch=7239, lrate=0.005, error=0.000
    >epoch=7240, lrate=0.005, error=0.000
    >epoch=7241, lrate=0.005, error=0.000
    >epoch=7242, lrate=0.005, error=0.000
    >epoch=7243, lrate=0.005, error=0.000
    >epoch=7244, lrate=0.005, error=0.000
    >epoch=7245, lrate=0.005, error=0.000
    >epoch=7246, lrate=0.005, error=0.000
    >epoch=7247, lrate=0.005, error=0.000
    >epoch=7248, lrate=0.005, error=0.000
    >epoch=7249, lrate=0.005, error=0.000
    >epoch=7250, lrate=0.005, error=0.000
    >epoch=7251, lrate=0.005, error=0.000
    >epoch=7252, lrate=0.005, error=0.000
    >epoch=7253, lrate=0.005, error=0.000
    >epoch=7254, lrate=0.005, error=0.000
    >epoch=7255, lrate=0.005, error=0.000
    >epoch=7256, lrate=0.005, error=0.000
    >epoch=7257, lrate=0.005, error=0.000
    >epoch=7258, lrate=0.005, error=0.000
    >epoch=7259, lrate=0.005, error=0.000
    >epoch=7260, lrate=0.005, error=0.000
    >epoch=7261, lrate=0.005, error=0.000
    >epoch=7262, lrate=0.005, error=0.000
    >epoch=7263, lrate=0.005, error=0.000
    >epoch=7264, lrate=0.005, error=0.000
    >epoch=7265, lrate=0.005, error=0.000
    >epoch=7266, lrate=0.005, error=0.000
    >epoch=7267, lrate=0.005, error=0.000
    >epoch=7268, lrate=0.005, error=0.000
    >epoch=7269, lrate=0.005, error=0.000
    >epoch=7270, lrate=0.005, error=0.000
    >epoch=7271, lrate=0.005, error=0.000
    >epoch=7272, lrate=0.005, error=0.000
    >epoch=7273, lrate=0.005, error=0.000
    >epoch=7274, lrate=0.005, error=0.000
    >epoch=7275, lrate=0.005, error=0.000
    >epoch=7276, lrate=0.005, error=0.000
    >epoch=7277, lrate=0.005, error=0.000
    >epoch=7278, lrate=0.005, error=0.000
    >epoch=7279, lrate=0.005, error=0.000
    >epoch=7280, lrate=0.005, error=0.000
    >epoch=7281, lrate=0.005, error=0.000
    >epoch=7282, lrate=0.005, error=0.000
    >epoch=7283, lrate=0.005, error=0.000
    >epoch=7284, lrate=0.005, error=0.000
    >epoch=7285, lrate=0.005, error=0.000
    >epoch=7286, lrate=0.005, error=0.000
    >epoch=7287, lrate=0.005, error=0.000
    >epoch=7288, lrate=0.005, error=0.000
    >epoch=7289, lrate=0.005, error=0.000
    >epoch=7290, lrate=0.005, error=0.000
    >epoch=7291, lrate=0.005, error=0.000
    >epoch=7292, lrate=0.005, error=0.000
    >epoch=7293, lrate=0.005, error=0.000
    >epoch=7294, lrate=0.005, error=0.000
    >epoch=7295, lrate=0.005, error=0.000
    >epoch=7296, lrate=0.005, error=0.000
    >epoch=7297, lrate=0.005, error=0.000
    >epoch=7298, lrate=0.005, error=0.000
    >epoch=7299, lrate=0.005, error=0.000
    >epoch=7300, lrate=0.005, error=0.000
    >epoch=7301, lrate=0.005, error=0.000
    >epoch=7302, lrate=0.005, error=0.000
    >epoch=7303, lrate=0.005, error=0.000
    >epoch=7304, lrate=0.005, error=0.000
    >epoch=7305, lrate=0.005, error=0.000
    >epoch=7306, lrate=0.005, error=0.000
    >epoch=7307, lrate=0.005, error=0.000
    >epoch=7308, lrate=0.005, error=0.000
    >epoch=7309, lrate=0.005, error=0.000
    >epoch=7310, lrate=0.005, error=0.000
    >epoch=7311, lrate=0.005, error=0.000
    >epoch=7312, lrate=0.005, error=0.000
    >epoch=7313, lrate=0.005, error=0.000
    >epoch=7314, lrate=0.005, error=0.000
    >epoch=7315, lrate=0.005, error=0.000
    >epoch=7316, lrate=0.005, error=0.000
    >epoch=7317, lrate=0.005, error=0.000
    >epoch=7318, lrate=0.005, error=0.000
    >epoch=7319, lrate=0.005, error=0.000
    >epoch=7320, lrate=0.005, error=0.000
    >epoch=7321, lrate=0.005, error=0.000
    >epoch=7322, lrate=0.005, error=0.000
    >epoch=7323, lrate=0.005, error=0.000
    >epoch=7324, lrate=0.005, error=0.000
    >epoch=7325, lrate=0.005, error=0.000
    >epoch=7326, lrate=0.005, error=0.000
    >epoch=7327, lrate=0.005, error=0.000
    >epoch=7328, lrate=0.005, error=0.000
    >epoch=7329, lrate=0.005, error=0.000
    >epoch=7330, lrate=0.005, error=0.000
    >epoch=7331, lrate=0.005, error=0.000
    >epoch=7332, lrate=0.005, error=0.000
    >epoch=7333, lrate=0.005, error=0.000
    >epoch=7334, lrate=0.005, error=0.000
    >epoch=7335, lrate=0.005, error=0.000
    >epoch=7336, lrate=0.005, error=0.000
    >epoch=7337, lrate=0.005, error=0.000
    >epoch=7338, lrate=0.005, error=0.000
    >epoch=7339, lrate=0.005, error=0.000
    >epoch=7340, lrate=0.005, error=0.000
    >epoch=7341, lrate=0.005, error=0.000
    >epoch=7342, lrate=0.005, error=0.000
    >epoch=7343, lrate=0.005, error=0.000
    >epoch=7344, lrate=0.005, error=0.000
    >epoch=7345, lrate=0.005, error=0.000
    >epoch=7346, lrate=0.005, error=0.000
    >epoch=7347, lrate=0.005, error=0.000
    >epoch=7348, lrate=0.005, error=0.000
    >epoch=7349, lrate=0.005, error=0.000
    >epoch=7350, lrate=0.005, error=0.000
    >epoch=7351, lrate=0.005, error=0.000
    >epoch=7352, lrate=0.005, error=0.000
    >epoch=7353, lrate=0.005, error=0.000
    >epoch=7354, lrate=0.005, error=0.000
    >epoch=7355, lrate=0.005, error=0.000
    >epoch=7356, lrate=0.005, error=0.000
    >epoch=7357, lrate=0.005, error=0.000
    >epoch=7358, lrate=0.005, error=0.000
    >epoch=7359, lrate=0.005, error=0.000
    >epoch=7360, lrate=0.005, error=0.000
    >epoch=7361, lrate=0.005, error=0.000
    >epoch=7362, lrate=0.005, error=0.000
    >epoch=7363, lrate=0.005, error=0.000
    >epoch=7364, lrate=0.005, error=0.000
    >epoch=7365, lrate=0.005, error=0.000
    >epoch=7366, lrate=0.005, error=0.000
    >epoch=7367, lrate=0.005, error=0.000
    >epoch=7368, lrate=0.005, error=0.000
    >epoch=7369, lrate=0.005, error=0.000
    >epoch=7370, lrate=0.005, error=0.000
    >epoch=7371, lrate=0.005, error=0.000
    >epoch=7372, lrate=0.005, error=0.000
    >epoch=7373, lrate=0.005, error=0.000
    >epoch=7374, lrate=0.005, error=0.000
    >epoch=7375, lrate=0.005, error=0.000
    >epoch=7376, lrate=0.005, error=0.000
    >epoch=7377, lrate=0.005, error=0.000
    >epoch=7378, lrate=0.005, error=0.000
    >epoch=7379, lrate=0.005, error=0.000
    >epoch=7380, lrate=0.005, error=0.000
    >epoch=7381, lrate=0.005, error=0.000
    >epoch=7382, lrate=0.005, error=0.000
    >epoch=7383, lrate=0.005, error=0.000
    >epoch=7384, lrate=0.005, error=0.000
    >epoch=7385, lrate=0.005, error=0.000
    >epoch=7386, lrate=0.005, error=0.000
    >epoch=7387, lrate=0.005, error=0.000
    >epoch=7388, lrate=0.005, error=0.000
    >epoch=7389, lrate=0.005, error=0.000
    >epoch=7390, lrate=0.005, error=0.000
    >epoch=7391, lrate=0.005, error=0.000
    >epoch=7392, lrate=0.005, error=0.000
    >epoch=7393, lrate=0.005, error=0.000
    >epoch=7394, lrate=0.005, error=0.000
    >epoch=7395, lrate=0.005, error=0.000
    >epoch=7396, lrate=0.005, error=0.000
    >epoch=7397, lrate=0.005, error=0.000
    >epoch=7398, lrate=0.005, error=0.000
    >epoch=7399, lrate=0.005, error=0.000
    >epoch=7400, lrate=0.005, error=0.000
    >epoch=7401, lrate=0.005, error=0.000
    >epoch=7402, lrate=0.005, error=0.000
    >epoch=7403, lrate=0.005, error=0.000
    >epoch=7404, lrate=0.005, error=0.000
    >epoch=7405, lrate=0.005, error=0.000
    >epoch=7406, lrate=0.005, error=0.000
    >epoch=7407, lrate=0.005, error=0.000
    >epoch=7408, lrate=0.005, error=0.000
    >epoch=7409, lrate=0.005, error=0.000
    >epoch=7410, lrate=0.005, error=0.000
    >epoch=7411, lrate=0.005, error=0.000
    >epoch=7412, lrate=0.005, error=0.000
    >epoch=7413, lrate=0.005, error=0.000
    >epoch=7414, lrate=0.005, error=0.000
    >epoch=7415, lrate=0.005, error=0.000
    >epoch=7416, lrate=0.005, error=0.000
    >epoch=7417, lrate=0.005, error=0.000
    >epoch=7418, lrate=0.005, error=0.000
    >epoch=7419, lrate=0.005, error=0.000
    >epoch=7420, lrate=0.005, error=0.000
    >epoch=7421, lrate=0.005, error=0.000
    >epoch=7422, lrate=0.005, error=0.000
    >epoch=7423, lrate=0.005, error=0.000
    >epoch=7424, lrate=0.005, error=0.000
    >epoch=7425, lrate=0.005, error=0.000
    >epoch=7426, lrate=0.005, error=0.000
    >epoch=7427, lrate=0.005, error=0.000
    >epoch=7428, lrate=0.005, error=0.000
    >epoch=7429, lrate=0.005, error=0.000
    >epoch=7430, lrate=0.005, error=0.000
    >epoch=7431, lrate=0.005, error=0.000
    >epoch=7432, lrate=0.005, error=0.000
    >epoch=7433, lrate=0.005, error=0.000
    >epoch=7434, lrate=0.005, error=0.000
    >epoch=7435, lrate=0.005, error=0.000
    >epoch=7436, lrate=0.005, error=0.000
    >epoch=7437, lrate=0.005, error=0.000
    >epoch=7438, lrate=0.005, error=0.000
    >epoch=7439, lrate=0.005, error=0.000
    >epoch=7440, lrate=0.005, error=0.000
    >epoch=7441, lrate=0.005, error=0.000
    >epoch=7442, lrate=0.005, error=0.000
    >epoch=7443, lrate=0.005, error=0.000
    >epoch=7444, lrate=0.005, error=0.000
    >epoch=7445, lrate=0.005, error=0.000
    >epoch=7446, lrate=0.005, error=0.000
    >epoch=7447, lrate=0.005, error=0.000
    >epoch=7448, lrate=0.005, error=0.000
    >epoch=7449, lrate=0.005, error=0.000
    >epoch=7450, lrate=0.005, error=0.000
    >epoch=7451, lrate=0.005, error=0.000
    >epoch=7452, lrate=0.005, error=0.000
    >epoch=7453, lrate=0.005, error=0.000
    >epoch=7454, lrate=0.005, error=0.000
    >epoch=7455, lrate=0.005, error=0.000
    >epoch=7456, lrate=0.005, error=0.000
    >epoch=7457, lrate=0.005, error=0.000
    >epoch=7458, lrate=0.005, error=0.000
    >epoch=7459, lrate=0.005, error=0.000
    >epoch=7460, lrate=0.005, error=0.000
    >epoch=7461, lrate=0.005, error=0.000
    >epoch=7462, lrate=0.005, error=0.000
    >epoch=7463, lrate=0.005, error=0.000
    >epoch=7464, lrate=0.005, error=0.000
    >epoch=7465, lrate=0.005, error=0.000
    >epoch=7466, lrate=0.005, error=0.000
    >epoch=7467, lrate=0.005, error=0.000
    >epoch=7468, lrate=0.005, error=0.000
    >epoch=7469, lrate=0.005, error=0.000
    >epoch=7470, lrate=0.005, error=0.000
    >epoch=7471, lrate=0.005, error=0.000
    >epoch=7472, lrate=0.005, error=0.000
    >epoch=7473, lrate=0.005, error=0.000
    >epoch=7474, lrate=0.005, error=0.000
    >epoch=7475, lrate=0.005, error=0.000
    >epoch=7476, lrate=0.005, error=0.000
    >epoch=7477, lrate=0.005, error=0.000
    >epoch=7478, lrate=0.005, error=0.000
    >epoch=7479, lrate=0.005, error=0.000
    >epoch=7480, lrate=0.005, error=0.000
    >epoch=7481, lrate=0.005, error=0.000
    >epoch=7482, lrate=0.005, error=0.000
    >epoch=7483, lrate=0.005, error=0.000
    >epoch=7484, lrate=0.005, error=0.000
    >epoch=7485, lrate=0.005, error=0.000
    >epoch=7486, lrate=0.005, error=0.000
    >epoch=7487, lrate=0.005, error=0.000
    >epoch=7488, lrate=0.005, error=0.000
    >epoch=7489, lrate=0.005, error=0.000
    >epoch=7490, lrate=0.005, error=0.000
    >epoch=7491, lrate=0.005, error=0.000
    >epoch=7492, lrate=0.005, error=0.000
    >epoch=7493, lrate=0.005, error=0.000
    >epoch=7494, lrate=0.005, error=0.000
    >epoch=7495, lrate=0.005, error=0.000
    >epoch=7496, lrate=0.005, error=0.000
    >epoch=7497, lrate=0.005, error=0.000
    >epoch=7498, lrate=0.005, error=0.000
    >epoch=7499, lrate=0.005, error=0.000
    >epoch=7500, lrate=0.005, error=0.000
    >epoch=7501, lrate=0.005, error=0.000
    >epoch=7502, lrate=0.005, error=0.000
    >epoch=7503, lrate=0.005, error=0.000
    >epoch=7504, lrate=0.005, error=0.000
    >epoch=7505, lrate=0.005, error=0.000
    >epoch=7506, lrate=0.005, error=0.000
    >epoch=7507, lrate=0.005, error=0.000
    >epoch=7508, lrate=0.005, error=0.000
    >epoch=7509, lrate=0.005, error=0.000
    >epoch=7510, lrate=0.005, error=0.000
    >epoch=7511, lrate=0.005, error=0.000
    >epoch=7512, lrate=0.005, error=0.000
    >epoch=7513, lrate=0.005, error=0.000
    >epoch=7514, lrate=0.005, error=0.000
    >epoch=7515, lrate=0.005, error=0.000
    >epoch=7516, lrate=0.005, error=0.000
    >epoch=7517, lrate=0.005, error=0.000
    >epoch=7518, lrate=0.005, error=0.000
    >epoch=7519, lrate=0.005, error=0.000
    >epoch=7520, lrate=0.005, error=0.000
    >epoch=7521, lrate=0.005, error=0.000
    >epoch=7522, lrate=0.005, error=0.000
    >epoch=7523, lrate=0.005, error=0.000
    >epoch=7524, lrate=0.005, error=0.000
    >epoch=7525, lrate=0.005, error=0.000
    >epoch=7526, lrate=0.005, error=0.000
    >epoch=7527, lrate=0.005, error=0.000
    >epoch=7528, lrate=0.005, error=0.000
    >epoch=7529, lrate=0.005, error=0.000
    >epoch=7530, lrate=0.005, error=0.000
    >epoch=7531, lrate=0.005, error=0.000
    >epoch=7532, lrate=0.005, error=0.000
    >epoch=7533, lrate=0.005, error=0.000
    >epoch=7534, lrate=0.005, error=0.000
    >epoch=7535, lrate=0.005, error=0.000
    >epoch=7536, lrate=0.005, error=0.000
    >epoch=7537, lrate=0.005, error=0.000
    >epoch=7538, lrate=0.005, error=0.000
    >epoch=7539, lrate=0.005, error=0.000
    >epoch=7540, lrate=0.005, error=0.000
    >epoch=7541, lrate=0.005, error=0.000
    >epoch=7542, lrate=0.005, error=0.000
    >epoch=7543, lrate=0.005, error=0.000
    >epoch=7544, lrate=0.005, error=0.000
    >epoch=7545, lrate=0.005, error=0.000
    >epoch=7546, lrate=0.005, error=0.000
    >epoch=7547, lrate=0.005, error=0.000
    >epoch=7548, lrate=0.005, error=0.000
    >epoch=7549, lrate=0.005, error=0.000
    >epoch=7550, lrate=0.005, error=0.000
    >epoch=7551, lrate=0.005, error=0.000
    >epoch=7552, lrate=0.005, error=0.000
    >epoch=7553, lrate=0.005, error=0.000
    >epoch=7554, lrate=0.005, error=0.000
    >epoch=7555, lrate=0.005, error=0.000
    >epoch=7556, lrate=0.005, error=0.000
    >epoch=7557, lrate=0.005, error=0.000
    >epoch=7558, lrate=0.005, error=0.000
    >epoch=7559, lrate=0.005, error=0.000
    >epoch=7560, lrate=0.005, error=0.000
    >epoch=7561, lrate=0.005, error=0.000
    >epoch=7562, lrate=0.005, error=0.000
    >epoch=7563, lrate=0.005, error=0.000
    >epoch=7564, lrate=0.005, error=0.000
    >epoch=7565, lrate=0.005, error=0.000
    >epoch=7566, lrate=0.005, error=0.000
    >epoch=7567, lrate=0.005, error=0.000
    >epoch=7568, lrate=0.005, error=0.000
    >epoch=7569, lrate=0.005, error=0.000
    >epoch=7570, lrate=0.005, error=0.000
    >epoch=7571, lrate=0.005, error=0.000
    >epoch=7572, lrate=0.005, error=0.000
    >epoch=7573, lrate=0.005, error=0.000
    >epoch=7574, lrate=0.005, error=0.000
    >epoch=7575, lrate=0.005, error=0.000
    >epoch=7576, lrate=0.005, error=0.000
    >epoch=7577, lrate=0.005, error=0.000
    >epoch=7578, lrate=0.005, error=0.000
    >epoch=7579, lrate=0.005, error=0.000
    >epoch=7580, lrate=0.005, error=0.000
    >epoch=7581, lrate=0.005, error=0.000
    >epoch=7582, lrate=0.005, error=0.000
    >epoch=7583, lrate=0.005, error=0.000
    >epoch=7584, lrate=0.005, error=0.000
    >epoch=7585, lrate=0.005, error=0.000
    >epoch=7586, lrate=0.005, error=0.000
    >epoch=7587, lrate=0.005, error=0.000
    >epoch=7588, lrate=0.005, error=0.000
    >epoch=7589, lrate=0.005, error=0.000
    >epoch=7590, lrate=0.005, error=0.000
    >epoch=7591, lrate=0.005, error=0.000
    >epoch=7592, lrate=0.005, error=0.000
    >epoch=7593, lrate=0.005, error=0.000
    >epoch=7594, lrate=0.005, error=0.000
    >epoch=7595, lrate=0.005, error=0.000
    >epoch=7596, lrate=0.005, error=0.000
    >epoch=7597, lrate=0.005, error=0.000
    >epoch=7598, lrate=0.005, error=0.000
    >epoch=7599, lrate=0.005, error=0.000
    >epoch=7600, lrate=0.005, error=0.000
    >epoch=7601, lrate=0.005, error=0.000
    >epoch=7602, lrate=0.005, error=0.000
    >epoch=7603, lrate=0.005, error=0.000
    >epoch=7604, lrate=0.005, error=0.000
    >epoch=7605, lrate=0.005, error=0.000
    >epoch=7606, lrate=0.005, error=0.000
    >epoch=7607, lrate=0.005, error=0.000
    >epoch=7608, lrate=0.005, error=0.000
    >epoch=7609, lrate=0.005, error=0.000
    >epoch=7610, lrate=0.005, error=0.000
    >epoch=7611, lrate=0.005, error=0.000
    >epoch=7612, lrate=0.005, error=0.000
    >epoch=7613, lrate=0.005, error=0.000
    >epoch=7614, lrate=0.005, error=0.000
    >epoch=7615, lrate=0.005, error=0.000
    >epoch=7616, lrate=0.005, error=0.000
    >epoch=7617, lrate=0.005, error=0.000
    >epoch=7618, lrate=0.005, error=0.000
    >epoch=7619, lrate=0.005, error=0.000
    >epoch=7620, lrate=0.005, error=0.000
    >epoch=7621, lrate=0.005, error=0.000
    >epoch=7622, lrate=0.005, error=0.000
    >epoch=7623, lrate=0.005, error=0.000
    >epoch=7624, lrate=0.005, error=0.000
    >epoch=7625, lrate=0.005, error=0.000
    >epoch=7626, lrate=0.005, error=0.000
    >epoch=7627, lrate=0.005, error=0.000
    >epoch=7628, lrate=0.005, error=0.000
    >epoch=7629, lrate=0.005, error=0.000
    >epoch=7630, lrate=0.005, error=0.000
    >epoch=7631, lrate=0.005, error=0.000
    >epoch=7632, lrate=0.005, error=0.000
    >epoch=7633, lrate=0.005, error=0.000
    >epoch=7634, lrate=0.005, error=0.000
    >epoch=7635, lrate=0.005, error=0.000
    >epoch=7636, lrate=0.005, error=0.000
    >epoch=7637, lrate=0.005, error=0.000
    >epoch=7638, lrate=0.005, error=0.000
    >epoch=7639, lrate=0.005, error=0.000
    >epoch=7640, lrate=0.005, error=0.000
    >epoch=7641, lrate=0.005, error=0.000
    >epoch=7642, lrate=0.005, error=0.000
    >epoch=7643, lrate=0.005, error=0.000
    >epoch=7644, lrate=0.005, error=0.000
    >epoch=7645, lrate=0.005, error=0.000
    >epoch=7646, lrate=0.005, error=0.000
    >epoch=7647, lrate=0.005, error=0.000
    >epoch=7648, lrate=0.005, error=0.000
    >epoch=7649, lrate=0.005, error=0.000
    >epoch=7650, lrate=0.005, error=0.000
    >epoch=7651, lrate=0.005, error=0.000
    >epoch=7652, lrate=0.005, error=0.000
    >epoch=7653, lrate=0.005, error=0.000
    >epoch=7654, lrate=0.005, error=0.000
    >epoch=7655, lrate=0.005, error=0.000
    >epoch=7656, lrate=0.005, error=0.000
    >epoch=7657, lrate=0.005, error=0.000
    >epoch=7658, lrate=0.005, error=0.000
    >epoch=7659, lrate=0.005, error=0.000
    >epoch=7660, lrate=0.005, error=0.000
    >epoch=7661, lrate=0.005, error=0.000
    >epoch=7662, lrate=0.005, error=0.000
    >epoch=7663, lrate=0.005, error=0.000
    >epoch=7664, lrate=0.005, error=0.000
    >epoch=7665, lrate=0.005, error=0.000
    >epoch=7666, lrate=0.005, error=0.000
    >epoch=7667, lrate=0.005, error=0.000
    >epoch=7668, lrate=0.005, error=0.000
    >epoch=7669, lrate=0.005, error=0.000
    >epoch=7670, lrate=0.005, error=0.000
    >epoch=7671, lrate=0.005, error=0.000
    >epoch=7672, lrate=0.005, error=0.000
    >epoch=7673, lrate=0.005, error=0.000
    >epoch=7674, lrate=0.005, error=0.000
    >epoch=7675, lrate=0.005, error=0.000
    >epoch=7676, lrate=0.005, error=0.000
    >epoch=7677, lrate=0.005, error=0.000
    >epoch=7678, lrate=0.005, error=0.000
    >epoch=7679, lrate=0.005, error=0.000
    >epoch=7680, lrate=0.005, error=0.000
    >epoch=7681, lrate=0.005, error=0.000
    >epoch=7682, lrate=0.005, error=0.000
    >epoch=7683, lrate=0.005, error=0.000
    >epoch=7684, lrate=0.005, error=0.000
    >epoch=7685, lrate=0.005, error=0.000
    >epoch=7686, lrate=0.005, error=0.000
    >epoch=7687, lrate=0.005, error=0.000
    >epoch=7688, lrate=0.005, error=0.000
    >epoch=7689, lrate=0.005, error=0.000
    >epoch=7690, lrate=0.005, error=0.000
    >epoch=7691, lrate=0.005, error=0.000
    >epoch=7692, lrate=0.005, error=0.000
    >epoch=7693, lrate=0.005, error=0.000
    >epoch=7694, lrate=0.005, error=0.000
    >epoch=7695, lrate=0.005, error=0.000
    >epoch=7696, lrate=0.005, error=0.000
    >epoch=7697, lrate=0.005, error=0.000
    >epoch=7698, lrate=0.005, error=0.000
    >epoch=7699, lrate=0.005, error=0.000
    >epoch=7700, lrate=0.005, error=0.000
    >epoch=7701, lrate=0.005, error=0.000
    >epoch=7702, lrate=0.005, error=0.000
    >epoch=7703, lrate=0.005, error=0.000
    >epoch=7704, lrate=0.005, error=0.000
    >epoch=7705, lrate=0.005, error=0.000
    >epoch=7706, lrate=0.005, error=0.000
    >epoch=7707, lrate=0.005, error=0.000
    >epoch=7708, lrate=0.005, error=0.000
    >epoch=7709, lrate=0.005, error=0.000
    >epoch=7710, lrate=0.005, error=0.000
    >epoch=7711, lrate=0.005, error=0.000
    >epoch=7712, lrate=0.005, error=0.000
    >epoch=7713, lrate=0.005, error=0.000
    >epoch=7714, lrate=0.005, error=0.000
    >epoch=7715, lrate=0.005, error=0.000
    >epoch=7716, lrate=0.005, error=0.000
    >epoch=7717, lrate=0.005, error=0.000
    >epoch=7718, lrate=0.005, error=0.000
    >epoch=7719, lrate=0.005, error=0.000
    >epoch=7720, lrate=0.005, error=0.000
    >epoch=7721, lrate=0.005, error=0.000
    >epoch=7722, lrate=0.005, error=0.000
    >epoch=7723, lrate=0.005, error=0.000
    >epoch=7724, lrate=0.005, error=0.000
    >epoch=7725, lrate=0.005, error=0.000
    >epoch=7726, lrate=0.005, error=0.000
    >epoch=7727, lrate=0.005, error=0.000
    >epoch=7728, lrate=0.005, error=0.000
    >epoch=7729, lrate=0.005, error=0.000
    >epoch=7730, lrate=0.005, error=0.000
    >epoch=7731, lrate=0.005, error=0.000
    >epoch=7732, lrate=0.005, error=0.000
    >epoch=7733, lrate=0.005, error=0.000
    >epoch=7734, lrate=0.005, error=0.000
    >epoch=7735, lrate=0.005, error=0.000
    >epoch=7736, lrate=0.005, error=0.000
    >epoch=7737, lrate=0.005, error=0.000
    >epoch=7738, lrate=0.005, error=0.000
    >epoch=7739, lrate=0.005, error=0.000
    >epoch=7740, lrate=0.005, error=0.000
    >epoch=7741, lrate=0.005, error=0.000
    >epoch=7742, lrate=0.005, error=0.000
    >epoch=7743, lrate=0.005, error=0.000
    >epoch=7744, lrate=0.005, error=0.000
    >epoch=7745, lrate=0.005, error=0.000
    >epoch=7746, lrate=0.005, error=0.000
    >epoch=7747, lrate=0.005, error=0.000
    >epoch=7748, lrate=0.005, error=0.000
    >epoch=7749, lrate=0.005, error=0.000
    >epoch=7750, lrate=0.005, error=0.000
    >epoch=7751, lrate=0.005, error=0.000
    >epoch=7752, lrate=0.005, error=0.000
    >epoch=7753, lrate=0.005, error=0.000
    >epoch=7754, lrate=0.005, error=0.000
    >epoch=7755, lrate=0.005, error=0.000
    >epoch=7756, lrate=0.005, error=0.000
    >epoch=7757, lrate=0.005, error=0.000
    >epoch=7758, lrate=0.005, error=0.000
    >epoch=7759, lrate=0.005, error=0.000
    >epoch=7760, lrate=0.005, error=0.000
    >epoch=7761, lrate=0.005, error=0.000
    >epoch=7762, lrate=0.005, error=0.000
    >epoch=7763, lrate=0.005, error=0.000
    >epoch=7764, lrate=0.005, error=0.000
    >epoch=7765, lrate=0.005, error=0.000
    >epoch=7766, lrate=0.005, error=0.000
    >epoch=7767, lrate=0.005, error=0.000
    >epoch=7768, lrate=0.005, error=0.000
    >epoch=7769, lrate=0.005, error=0.000
    >epoch=7770, lrate=0.005, error=0.000
    >epoch=7771, lrate=0.005, error=0.000
    >epoch=7772, lrate=0.005, error=0.000
    >epoch=7773, lrate=0.005, error=0.000
    >epoch=7774, lrate=0.005, error=0.000
    >epoch=7775, lrate=0.005, error=0.000
    >epoch=7776, lrate=0.005, error=0.000
    >epoch=7777, lrate=0.005, error=0.000
    >epoch=7778, lrate=0.005, error=0.000
    >epoch=7779, lrate=0.005, error=0.000
    >epoch=7780, lrate=0.005, error=0.000
    >epoch=7781, lrate=0.005, error=0.000
    >epoch=7782, lrate=0.005, error=0.000
    >epoch=7783, lrate=0.005, error=0.000
    >epoch=7784, lrate=0.005, error=0.000
    >epoch=7785, lrate=0.005, error=0.000
    >epoch=7786, lrate=0.005, error=0.000
    >epoch=7787, lrate=0.005, error=0.000
    >epoch=7788, lrate=0.005, error=0.000
    >epoch=7789, lrate=0.005, error=0.000
    >epoch=7790, lrate=0.005, error=0.000
    >epoch=7791, lrate=0.005, error=0.000
    >epoch=7792, lrate=0.005, error=0.000
    >epoch=7793, lrate=0.005, error=0.000
    >epoch=7794, lrate=0.005, error=0.000
    >epoch=7795, lrate=0.005, error=0.000
    >epoch=7796, lrate=0.005, error=0.000
    >epoch=7797, lrate=0.005, error=0.000
    >epoch=7798, lrate=0.005, error=0.000
    >epoch=7799, lrate=0.005, error=0.000
    >epoch=7800, lrate=0.005, error=0.000
    >epoch=7801, lrate=0.005, error=0.000
    >epoch=7802, lrate=0.005, error=0.000
    >epoch=7803, lrate=0.005, error=0.000
    >epoch=7804, lrate=0.005, error=0.000
    >epoch=7805, lrate=0.005, error=0.000
    >epoch=7806, lrate=0.005, error=0.000
    >epoch=7807, lrate=0.005, error=0.000
    >epoch=7808, lrate=0.005, error=0.000
    >epoch=7809, lrate=0.005, error=0.000
    >epoch=7810, lrate=0.005, error=0.000
    >epoch=7811, lrate=0.005, error=0.000
    >epoch=7812, lrate=0.005, error=0.000
    >epoch=7813, lrate=0.005, error=0.000
    >epoch=7814, lrate=0.005, error=0.000
    >epoch=7815, lrate=0.005, error=0.000
    >epoch=7816, lrate=0.005, error=0.000
    >epoch=7817, lrate=0.005, error=0.000
    >epoch=7818, lrate=0.005, error=0.000
    >epoch=7819, lrate=0.005, error=0.000
    >epoch=7820, lrate=0.005, error=0.000
    >epoch=7821, lrate=0.005, error=0.000
    >epoch=7822, lrate=0.005, error=0.000
    >epoch=7823, lrate=0.005, error=0.000
    >epoch=7824, lrate=0.005, error=0.000
    >epoch=7825, lrate=0.005, error=0.000
    >epoch=7826, lrate=0.005, error=0.000
    >epoch=7827, lrate=0.005, error=0.000
    >epoch=7828, lrate=0.005, error=0.000
    >epoch=7829, lrate=0.005, error=0.000
    >epoch=7830, lrate=0.005, error=0.000
    >epoch=7831, lrate=0.005, error=0.000
    >epoch=7832, lrate=0.005, error=0.000
    >epoch=7833, lrate=0.005, error=0.000
    >epoch=7834, lrate=0.005, error=0.000
    >epoch=7835, lrate=0.005, error=0.000
    >epoch=7836, lrate=0.005, error=0.000
    >epoch=7837, lrate=0.005, error=0.000
    >epoch=7838, lrate=0.005, error=0.000
    >epoch=7839, lrate=0.005, error=0.000
    >epoch=7840, lrate=0.005, error=0.000
    >epoch=7841, lrate=0.005, error=0.000
    >epoch=7842, lrate=0.005, error=0.000
    >epoch=7843, lrate=0.005, error=0.000
    >epoch=7844, lrate=0.005, error=0.000
    >epoch=7845, lrate=0.005, error=0.000
    >epoch=7846, lrate=0.005, error=0.000
    >epoch=7847, lrate=0.005, error=0.000
    >epoch=7848, lrate=0.005, error=0.000
    >epoch=7849, lrate=0.005, error=0.000
    >epoch=7850, lrate=0.005, error=0.000
    >epoch=7851, lrate=0.005, error=0.000
    >epoch=7852, lrate=0.005, error=0.000
    >epoch=7853, lrate=0.005, error=0.000
    >epoch=7854, lrate=0.005, error=0.000
    >epoch=7855, lrate=0.005, error=0.000
    >epoch=7856, lrate=0.005, error=0.000
    >epoch=7857, lrate=0.005, error=0.000
    >epoch=7858, lrate=0.005, error=0.000
    >epoch=7859, lrate=0.005, error=0.000
    >epoch=7860, lrate=0.005, error=0.000
    >epoch=7861, lrate=0.005, error=0.000
    >epoch=7862, lrate=0.005, error=0.000
    >epoch=7863, lrate=0.005, error=0.000
    >epoch=7864, lrate=0.005, error=0.000
    >epoch=7865, lrate=0.005, error=0.000
    >epoch=7866, lrate=0.005, error=0.000
    >epoch=7867, lrate=0.005, error=0.000
    >epoch=7868, lrate=0.005, error=0.000
    >epoch=7869, lrate=0.005, error=0.000
    >epoch=7870, lrate=0.005, error=0.000
    >epoch=7871, lrate=0.005, error=0.000
    >epoch=7872, lrate=0.005, error=0.000
    >epoch=7873, lrate=0.005, error=0.000
    >epoch=7874, lrate=0.005, error=0.000
    >epoch=7875, lrate=0.005, error=0.000
    >epoch=7876, lrate=0.005, error=0.000
    >epoch=7877, lrate=0.005, error=0.000
    >epoch=7878, lrate=0.005, error=0.000
    >epoch=7879, lrate=0.005, error=0.000
    >epoch=7880, lrate=0.005, error=0.000
    >epoch=7881, lrate=0.005, error=0.000
    >epoch=7882, lrate=0.005, error=0.000
    >epoch=7883, lrate=0.005, error=0.000
    >epoch=7884, lrate=0.005, error=0.000
    >epoch=7885, lrate=0.005, error=0.000
    >epoch=7886, lrate=0.005, error=0.000
    >epoch=7887, lrate=0.005, error=0.000
    >epoch=7888, lrate=0.005, error=0.000
    >epoch=7889, lrate=0.005, error=0.000
    >epoch=7890, lrate=0.005, error=0.000
    >epoch=7891, lrate=0.005, error=0.000
    >epoch=7892, lrate=0.005, error=0.000
    >epoch=7893, lrate=0.005, error=0.000
    >epoch=7894, lrate=0.005, error=0.000
    >epoch=7895, lrate=0.005, error=0.000
    >epoch=7896, lrate=0.005, error=0.000
    >epoch=7897, lrate=0.005, error=0.000
    >epoch=7898, lrate=0.005, error=0.000
    >epoch=7899, lrate=0.005, error=0.000
    >epoch=7900, lrate=0.005, error=0.000
    >epoch=7901, lrate=0.005, error=0.000
    >epoch=7902, lrate=0.005, error=0.000
    >epoch=7903, lrate=0.005, error=0.000
    >epoch=7904, lrate=0.005, error=0.000
    >epoch=7905, lrate=0.005, error=0.000
    >epoch=7906, lrate=0.005, error=0.000
    >epoch=7907, lrate=0.005, error=0.000
    >epoch=7908, lrate=0.005, error=0.000
    >epoch=7909, lrate=0.005, error=0.000
    >epoch=7910, lrate=0.005, error=0.000
    >epoch=7911, lrate=0.005, error=0.000
    >epoch=7912, lrate=0.005, error=0.000
    >epoch=7913, lrate=0.005, error=0.000
    >epoch=7914, lrate=0.005, error=0.000
    >epoch=7915, lrate=0.005, error=0.000
    >epoch=7916, lrate=0.005, error=0.000
    >epoch=7917, lrate=0.005, error=0.000
    >epoch=7918, lrate=0.005, error=0.000
    >epoch=7919, lrate=0.005, error=0.000
    >epoch=7920, lrate=0.005, error=0.000
    >epoch=7921, lrate=0.005, error=0.000
    >epoch=7922, lrate=0.005, error=0.000
    >epoch=7923, lrate=0.005, error=0.000
    >epoch=7924, lrate=0.005, error=0.000
    >epoch=7925, lrate=0.005, error=0.000
    >epoch=7926, lrate=0.005, error=0.000
    >epoch=7927, lrate=0.005, error=0.000
    >epoch=7928, lrate=0.005, error=0.000
    >epoch=7929, lrate=0.005, error=0.000
    >epoch=7930, lrate=0.005, error=0.000
    >epoch=7931, lrate=0.005, error=0.000
    >epoch=7932, lrate=0.005, error=0.000
    >epoch=7933, lrate=0.005, error=0.000
    >epoch=7934, lrate=0.005, error=0.000
    >epoch=7935, lrate=0.005, error=0.000
    >epoch=7936, lrate=0.005, error=0.000
    >epoch=7937, lrate=0.005, error=0.000
    >epoch=7938, lrate=0.005, error=0.000
    >epoch=7939, lrate=0.005, error=0.000
    >epoch=7940, lrate=0.005, error=0.000
    >epoch=7941, lrate=0.005, error=0.000
    >epoch=7942, lrate=0.005, error=0.000
    >epoch=7943, lrate=0.005, error=0.000
    >epoch=7944, lrate=0.005, error=0.000
    >epoch=7945, lrate=0.005, error=0.000
    >epoch=7946, lrate=0.005, error=0.000
    >epoch=7947, lrate=0.005, error=0.000
    >epoch=7948, lrate=0.005, error=0.000
    >epoch=7949, lrate=0.005, error=0.000
    >epoch=7950, lrate=0.005, error=0.000
    >epoch=7951, lrate=0.005, error=0.000
    >epoch=7952, lrate=0.005, error=0.000
    >epoch=7953, lrate=0.005, error=0.000
    >epoch=7954, lrate=0.005, error=0.000
    >epoch=7955, lrate=0.005, error=0.000
    >epoch=7956, lrate=0.005, error=0.000
    >epoch=7957, lrate=0.005, error=0.000
    >epoch=7958, lrate=0.005, error=0.000
    >epoch=7959, lrate=0.005, error=0.000
    >epoch=7960, lrate=0.005, error=0.000
    >epoch=7961, lrate=0.005, error=0.000
    >epoch=7962, lrate=0.005, error=0.000
    >epoch=7963, lrate=0.005, error=0.000
    >epoch=7964, lrate=0.005, error=0.000
    >epoch=7965, lrate=0.005, error=0.000
    >epoch=7966, lrate=0.005, error=0.000
    >epoch=7967, lrate=0.005, error=0.000
    >epoch=7968, lrate=0.005, error=0.000
    >epoch=7969, lrate=0.005, error=0.000
    >epoch=7970, lrate=0.005, error=0.000
    >epoch=7971, lrate=0.005, error=0.000
    >epoch=7972, lrate=0.005, error=0.000
    >epoch=7973, lrate=0.005, error=0.000
    >epoch=7974, lrate=0.005, error=0.000
    >epoch=7975, lrate=0.005, error=0.000
    >epoch=7976, lrate=0.005, error=0.000
    >epoch=7977, lrate=0.005, error=0.000
    >epoch=7978, lrate=0.005, error=0.000
    >epoch=7979, lrate=0.005, error=0.000
    >epoch=7980, lrate=0.005, error=0.000
    >epoch=7981, lrate=0.005, error=0.000
    >epoch=7982, lrate=0.005, error=0.000
    >epoch=7983, lrate=0.005, error=0.000
    >epoch=7984, lrate=0.005, error=0.000
    >epoch=7985, lrate=0.005, error=0.000
    >epoch=7986, lrate=0.005, error=0.000
    >epoch=7987, lrate=0.005, error=0.000
    >epoch=7988, lrate=0.005, error=0.000
    >epoch=7989, lrate=0.005, error=0.000
    >epoch=7990, lrate=0.005, error=0.000
    >epoch=7991, lrate=0.005, error=0.000
    >epoch=7992, lrate=0.005, error=0.000
    >epoch=7993, lrate=0.005, error=0.000
    >epoch=7994, lrate=0.005, error=0.000
    >epoch=7995, lrate=0.005, error=0.000
    >epoch=7996, lrate=0.005, error=0.000
    >epoch=7997, lrate=0.005, error=0.000
    >epoch=7998, lrate=0.005, error=0.000
    >epoch=7999, lrate=0.005, error=0.000
    intercept: 6.998228695360654
    coeff: [1.0000383592190238, 5.000055846375979]



```python

```

7eaa013600be6f07f9446de3cbf56f8fddb5950a
ipynb
Jupyter Notebook
gradient_descent.ipynb
louis-xu-ustc/machine_learning_basics
92839d0c24c469ff0094e6027a8d34313b87312f
MIT
gradient_descent.ipynb
louis-xu-ustc/machine_learning_basics
92839d0c24c469ff0094e6027a8d34313b87312f
MIT
gradient_descent.ipynb
louis-xu-ustc/machine_learning_basics
92839d0c24c469ff0094e6027a8d34313b87312f
MIT
Qwen/Qwen-72B
1. YES
2. YES