Numpy实现Dropout

class Dropout(Layer):
    """A layer that randomly sets a fraction p of the output units of the previous layer
    to zero.

    Parameters:
    -----------
    p: float
        The probability that unit x is set to zero.
    """
    def __init__(self, p=0.2):
        self.p = p
        self._mask = None
        self.input_shape = None
        self.n_units = None
        self.pass_through = True
        self.trainable = True

    def forward_pass(self, X, training=True):
        c = (1 - self.p)
        if training:
            self._mask = np.random.uniform(size=X.shape) > self.p
            c = self._mask
        return X * c

    def backward_pass(self, accum_grad):
        return accum_grad * self._mask

    def output_shape(self):
        return self.input_shape


  

 

  
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文章来源: wanghao.blog.csdn.net，作者：AI浩，版权归原作者所有，如需转载，请联系作者。

原文链接：wanghao.blog.csdn.net/article/details/120322341