rbm.py 文件源码

def propDown(self, hid):
        """This function propagates the hidden units activation downwards to
        the visible units

        Note that we return also the pre_sigmoid_activation of the
        layer. As it will turn out later, due to how Theano deals with
        optimizations, this symbolic variable will be needed to write
        down a more stable computational graph (see details in the
        reconstruction cost function)

        """
        pre_sigmoid_activation = T.dot(hid, self.w.T) + self.vbias
        return [pre_sigmoid_activation, activation(pre_sigmoid_activation)]