slim.arg_scope嵌套理解（简单）

def new_arg_sc():

    with slim.arg_scope([slim.conv2d, slim.fully_connected],

                        trainable=True,

                        activation_fn=tf.nn.relu,

                        weights_initializer=tf.truncated_normal_initializer(stddev=0.01),

                        weights_regularizer=slim.l2_regularizer(0.0001)):

        with slim.arg_scope([slim.conv2d],

                            kernel_size=[3, 3],

                            padding='SAME',

                            normalizer_fn=slim.batch_norm) as sc:

            return sc

嵌套第一层 slim.arg_scope 代表设置默认的 slim.conv2d 和 slim.fully_connected 的通用参数

第二层 slim.arg_scope则在原来设置的默认参数基础上设置 slim.conv2d 其他三个 slim.fully_connected没有的参数：

kernel_size、padding、normalizer_fn

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返回的 sc 可以作为其他slim.arg_scope的参数进行默认参数的传递：

如：with slim.arg_scope(sc):