rbm.py 文件源码

def propUp(self, vis):
        """This function propagates the visible units activation upwards to
        the hidden 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(vis, self.w) + self.hbias
        return [pre_sigmoid_activation,activation(pre_sigmoid_activation)]