Method forward_hidden

unsupervised_class2/rbm_tf.py:105–106

(self, X)

        return first_term + second_term

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

    def forward_logits(self, X):
        Z = self.forward_hidden(X)