model.py 文件源码

def _bn_relu_conv(filters, kernel_size = (3, 3), strides = (1, 1)):
    def f(inputs):
        x = BatchNormalization()(inputs)
        x = Activation('relu')(x)
        x = Conv2D(filters, kernel_size, strides = strides,
                   kernel_initializer = init, padding = 'same')(x)
        return x
    return f