Method forward_predict

ann_class2/dropout_theano.py:134–138

(self, X)

        return T.nnet.softmax(Z.dot(self.W) + self.b)

    def forward_predict(self, X):
        Z = X
        for h, p in zip(self.hidden_layers, self.dropout_rates[:-1]):
            Z = h.forward(p * Z)
        return T.nnet.softmax((self.dropout_rates[-1] * Z).dot(self.W) + self.b)

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