Method forward

rnn_class/mlp_parity.py:111–115

(self, X)

            plt.show()

    def forward(self, X):
        Z = X
        for h in self.hidden_layers:
            Z = h.forward(Z)
        return T.nnet.softmax(Z.dot(self.W) + self.b)

    def predict(self, X):
        pY = self.forward(X)