tf.slim.arg scope

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with slim.arg_scope([slim.conv2d,slim.separable_conv2d],weights_initializer=tf.truncated_normal_

使用方式slim.arg_scope常用于为tensorflow里的layer函数提供默认值以使构建模型的代码更加紧凑苗条(slim):

在slim库中对很多常用的函数进行了定义，slim.arg_scope（）是slim库中经常用到的函数之一。函数的定义tf.

arg_sc():with slim.arg_scope([slim.conv2d,slim.fully_connected],trainable=True,activation_fn=tf.nn.

slim.arg_scope（）slim.arg_scope可以定义一些函数的默认参数值，在scope内注意它没有tf.variable_scope()

arg_scopetf.contrib.framework.arg_scope(list_ops_or_scope,*kwargs)#或者 tf.contrib.slim.arg_scope

核心方法就是 slim.arg_scope。entropy=-tf.reduce_sum(Y*tf.log(logits))#训练的op一定要用slim的slim.

with slim.arg_scope([slim.conv2d],padding='SAME',weights_initializer=tf.truncated_normal_initializer