vgg16net.py 文件源码

def __init__(self, num_class, train=True):
        super(VGG16Net, self).__init__()
        with self.init_scope():
            self.conv1=L.Convolution2D(None, 64, 3, stride=1, pad=1)
            self.conv2=L.Convolution2D(None, 64, 3, stride=1, pad=1)

            self.conv3=L.Convolution2D(None, 128, 3, stride=1, pad=1)
            self.conv4=L.Convolution2D(None, 128, 3, stride=1, pad=1)

            self.conv5=L.Convolution2D(None, 256, 3, stride=1, pad=1)
            self.conv6=L.Convolution2D(None, 256, 3, stride=1, pad=1)
            self.conv7=L.Convolution2D(None, 256, 3, stride=1, pad=1)

            self.conv8=L.Convolution2D(None, 512, 3, stride=1, pad=1)
            self.conv9=L.Convolution2D(None, 512, 3, stride=1, pad=1)
            self.conv10=L.Convolution2D(None, 512, 3, stride=1, pad=1)

            self.conv11=L.Convolution2D(None, 512, 3, stride=1, pad=1)
            self.conv12=L.Convolution2D(None, 512, 3, stride=1, pad=1)
            self.conv13=L.Convolution2D(None, 512, 3, stride=1, pad=1)

            self.fc14=L.Linear(None, 4096)
            self.fc15=L.Linear(None, 4096)
            self.fc16=L.Linear(None, num_class)