Method forward_logits

unsupervised_class2/rbm_tf.py:108–110

(self, X)

        return tf.nn.sigmoid(tf.matmul(X, self.W) + self.c)

    def forward_logits(self, X):
        Z = self.forward_hidden(X)
        return tf.matmul(Z, tf.transpose(a=self.W)) + self.b

    def forward_output(self, X):
        return tf.nn.sigmoid(self.forward_logits(X))