Method forward

ann_class2/dropout_tensorflow.py:110–118

(self, X)

        plt.show()

    def forward(self, X):
        # tf.nn.dropout scales inputs by 1/p_keep
        # therefore, during test time, we don't have to scale anything
        Z = X
        Z = tf.nn.dropout(Z, self.dropout_rates[0])
        for h, p in zip(self.hidden_layers, self.dropout_rates[1:]):
            Z = h.forward(Z)
            Z = tf.nn.dropout(Z, p)
        return tf.matmul(Z, self.W) + self.b

    def forward_test(self, X):
        Z = X