code: def independentlinear60__ffnn():
      
      from keras.models import Sequential
      from keras.layers import Dense
  
      model = Sequential()
      model.add(Dense(32, activation='relu', input_dim=60))
      model.add(Dense(20, activation='relu'))
      model.add(Dense(20, activation='relu'))
      model.add(Dense(1))
  
      model.compile(optimizer='adam',
                  loss='mean_squared_error',
                  metrics=['mean_squared_error'])
  
      return KerasWrap(model, 30, flatten_output=True)
docs: 4-Layer Neural Network