simple_convnet.py 文件源码

def __init__(self, out_dim):
        super(SimpleConvnet, self).__init__(
            conv1=L.Convolution2D(3, 50, 3),
            bn_conv1=L.BatchNormalization(50),
            conv21=L.Convolution2D(50, 100, 3),
            bn_conv21=L.BatchNormalization(100),
            conv22=L.Convolution2D(100, 100, 1),
            bn_conv22=L.BatchNormalization(100),
            conv31=L.Convolution2D(100, 200, 3),
            bn_conv31=L.BatchNormalization(200),
            conv32=L.Convolution2D(200, 200, 3),
            bn_conv32=L.BatchNormalization(200),
            conv41=L.Convolution2D(200, 400, 3),
            bn_conv41=L.BatchNormalization(400),
            conv42=L.Convolution2D(400, 400, 1),
            bn_conv42=L.BatchNormalization(400),
            conv5=L.Convolution2D(400, 400, 1),
            bn_conv5=L.BatchNormalization(400),
            conv6=L.Convolution2D(400, 400, 1),
            bn_conv6=L.BatchNormalization(400),
            linear1=L.Linear(400, 400),
            bn_linear1=L.BatchNormalization(400),
            linear2=L.Linear(400, out_dim)
        )