basic_cnn_small.py 文件源码

def __call__(self, x, t=None):
        self.clear()

        h = F.leaky_relu(self.conv1(x), slope=0.1)
        h = F.leaky_relu(self.conv2(h), slope=0.1)
        #h = F.leaky_relu(self.conv3(h), slope=0.1)
        #h = F.leaky_relu(self.conv4(h), slope=0.1)
        h = F.clipped_relu(self.conv3(h), z=1.0)
        if self.train:
            self.loss = F.mean_squared_error(h, t)
            return self.loss
        else:
            return h