rbm.py 文件源码

def sampleVgivenH(self, h0_sample):
        """ This function infers state of visible units given hidden units """
        # compute the activation of the visible given the hidden sample
        pre_sigmoid_v1, v1_mean = self.propDown(h0_sample)
        # get a sample of the visible given their activation
        # Note that theano_rng.binomial returns a symbolic sample of dtype
        # int64 by default. If we want to keep our computations in floatX
        # for the GPU we need to specify to return the dtype floatX
        v1_sample = self.theano_rng.binomial(size=v1_mean.shape,
                                             n=1, p=v1_mean,
                                             dtype=theano.config.floatX)
        return [pre_sigmoid_v1, v1_mean, v1_sample]