models.py 文件源码

def __init__(self):
        super(CNN_Pooling, self).__init__(

            # input 3 channel of 32*32
            conv1_1=L.Convolution2D(3, 64, 3, pad=1),
            conv1_2=L.Convolution2D(64, 64, 3, pad=1),


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


            conv3_1=L.Convolution2D(128, 256, 3, pad=1),
            conv3_2=L.Convolution2D(256, 256, 3, pad=1),
            conv3_3=L.Convolution2D(256, 256, 3, pad=1),
            conv3_4=L.Convolution2D(256, 256, 3, pad=1),

            fc4 = L.Linear(256*4*4, 500),                                       
            fc5 = L.Linear(500, 500),                                         
            fc6 = L.Linear(500,10),
        )