Model.py 文件源码

def conv_pooling_layer(self, name, kernel_size, filters, kernel_regularizer_l2):
        def f(input):
            layer = Conv2D(kernel_size=kernel_size, filters=filters, name=name, padding='same',
                           kernel_regularizer=regularizers.l2(kernel_regularizer_l2))(input)
            layer = PReLU()(layer)
            layer = keras.layers.MaxPooling2D(name=name + '_maxpooling')(layer)
            return layer

        return f