(self , inputs_len ,neroun_len , learn_rate = 0.1)
神经元层初始化
            params:
                inputs_len                  神经元输入数目
                neroun_len                  神经元个数
                learn_rate                  学习率 
            return
                None 
            raise 
                None
神经元层初始化
            params:
                inputs_len                  神经元输入数目
                neroun_len                  神经元个数
                learn_rate                  学习率 
            return
                None 
            raise 
                None
神经元层初始化 params : inputs_len 神经元输入数目 neroun_len 神经元个数 learn_rate 学习率 return None raise None
def __init__(self , inputs_len ,neroun_len , learn_rate = 0.1):
        """神经元层初始化
            params:
                inputs_len                  神经元输入数目
                neroun_len                  神经元个数
                learn_rate                  学习率 
            return
                None 
            raise 
                None
        """
        self.nerouns = [ Neroun(inputs_len , learn_rate = learn_rate)  for i in range(neroun_len)]
        self.nerouns_len = neroun_len 
        self.nerouns_range = xrange(self.nerouns_len)
        self.output = [ 0.] * self.nerouns_len
def __init__ ( self , inputs_len , neroun_len , learn_rate = 0.1 ) : self . nerouns = [ Neroun ( inputs_len , learn_rate = learn_rate ) for i in range ( neroun_len ) ] self . nerouns_len = neroun_len self . nerouns_range = xrange ( self . nerouns_len ) self . output = [ 0. ] * self . nerouns_len