simple_cnn.py 文件源码

def ConvBlock(layers, model, filters):
    for i in range(layers): 
        model.add(ZeroPadding2D((1,1)))
        model.add(Convolution2D(filters, 3, 3, activation='relu'))
    model.add(MaxPooling2D((2,2), strides=(2,2)))
    model.add(Dropout(0.25))