nn.py 文件源码

def feedforward(self):
        # the only inputs are the query words
        for i in range(len(self.wordids)):
            self.ai[i] = 1.0

        # hidden activations
        for j in range(len(self.hiddenids)):
            sum = 0.0
            for i in range(len(self.wordids)):
                sum = sum + self.ai[i] * self.wi[i][j]
            self.ah[j] = tanh(sum)

        # output activations
        for k in range(len(self.urlids)):
            sum = 0.0
            for j in range(len(self.hiddenids)):
                sum = sum + self.ah[j] * self.wo[j][k]
            self.ao[k] = tanh(sum)

        return self.ao[:]