ae.py 文件源码

def compute_jacobian_h_x(self, inputs):
        inputs = theano.shared(inputs.flatten())
        h = self.encode(inputs)
        # see later
        # h = h.faltten()
        # inputs = inputs.flatten()
        # inputs = T.reshape(inputs, newshape=(self.nvis))
        J = theano.gradient.jacobian(h, inputs)
        return h, J