vgg16.py 文件源码

def __init__(self, n_class=1000):
        super(VGG16, self).__init__()
        with self.init_scope():
            self.conv1_1 = L.Convolution2D(3, 64, 3, 1, 1)
            self.conv1_2 = L.Convolution2D(64, 64, 3, 1, 1)

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

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

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

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

            self.fc6 = L.Linear(25088, 4096)
            self.fc7 = L.Linear(4096, 4096)
            self.fc8 = L.Linear(4096, n_class)