Method forward_hidden

recommenders/rbm_tf_k.py:216–217

(self, X)

        return first_term + second_term

    def forward_hidden(self, X):
        return tf.nn.sigmoid(dot1(X, self.W) + self.c)

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