VGGNet.py 文件源码

def __init__(self):
        super(VGGNet, self).__init__(
            conv1_1=L.Convolution2D(3, 64, 3, stride=1, pad=1),
            conv1_2=L.Convolution2D(64, 64, 3, stride=1, pad=1),

            conv2_1=L.Convolution2D(64, 128, 3, stride=1, pad=1),
            conv2_2=L.Convolution2D(128, 128, 3, stride=1, pad=1),

            conv3_1=L.Convolution2D(128, 256, 3, stride=1, pad=1),
            conv3_2=L.Convolution2D(256, 256, 3, stride=1, pad=1),
            conv3_3=L.Convolution2D(256, 256, 3, stride=1, pad=1),

            conv4_1=L.Convolution2D(256, 512, 3, stride=1, pad=1),
            conv4_2=L.Convolution2D(512, 512, 3, stride=1, pad=1),
            conv4_3=L.Convolution2D(512, 512, 3, stride=1, pad=1),

            conv5_1=L.Convolution2D(512, 512, 3, stride=1, pad=1),
            conv5_2=L.Convolution2D(512, 512, 3, stride=1, pad=1),
            conv5_3=L.Convolution2D(512, 512, 3, stride=1, pad=1),

            fc6=L.Linear(25088, 4096),
            fc7=L.Linear(4096, 4096),
            fc8=L.Linear(4096, 1000)
        )
        self.train = False