googlenet.py 文件源码

def __init__(self):
        super(GoogLeNet, self).__init__()
        with self.init_scope():
            self.conv1 = L.Convolution2D(None,  64, 7, stride=2, pad=3)
            self.conv2_reduce = L.Convolution2D(None,  64, 1)
            self.conv2 = L.Convolution2D(None, 192, 3, stride=1, pad=1)
            self.inc3a = L.Inception(None,  64,  96, 128, 16,  32,  32)
            self.inc3b = L.Inception(None, 128, 128, 192, 32,  96,  64)
            self.inc4a = L.Inception(None, 192,  96, 208, 16,  48,  64)
            self.inc4b = L.Inception(None, 160, 112, 224, 24,  64,  64)
            self.inc4c = L.Inception(None, 128, 128, 256, 24,  64,  64)
            self.inc4d = L.Inception(None, 112, 144, 288, 32,  64,  64)
            self.inc4e = L.Inception(None, 256, 160, 320, 32, 128, 128)
            self.inc5a = L.Inception(None, 256, 160, 320, 32, 128, 128)
            self.inc5b = L.Inception(None, 384, 192, 384, 48, 128, 128)
            self.loss3_fc = L.Linear(None, 1000)

            self.loss1_conv = L.Convolution2D(None, 128, 1)
            self.loss1_fc1 = L.Linear(None, 1024)
            self.loss1_fc2 = L.Linear(None, 1000)

            self.loss2_conv = L.Convolution2D(None, 128, 1)
            self.loss2_fc1 = L.Linear(None, 1024)
            self.loss2_fc2 = L.Linear(None, 1000)