缘由 最近一直在看深度学习的代码,又一次看到了slim.arg_scope()的嵌套使用,具体代码如下: with slim.arg_scope( [slim.conv2d, slim.separable_conv2d], weights_initializer=tf.truncated_normal_initializer( stddev=weights_initializer_stddev), activation_fn=activation_fn, normalizer_fn=slim.b…

此处纯粹作为个人学习使用,原文连接:https://www.jianshu.com/p/dc24e54aec81 这篇文章是借鉴很多博文的,作为一个关于slim库的总结 导入slim模块 import tensorflow.contrib.slim as slim 定义slim的变量 #Model Variables weights = slim.model_variable('weights', shape = [10, 10, 3, 3], initializer = tf.truncate…

如果抛开Keras,TensorLayer,tfLearn,tensroflow 能否写出简介的代码? 可以!slim这个模块是在16年新推出的,其主要目的是来做所谓的“代码瘦身” 一.简介 slim被放在tensorflow.contrib这个库下面,导入的方法如下: import tensorflow.contrib.slim as slim 众所周知 tensorflow.contrib这个库,tensorflow官方对它的描述是:此目录中的任何代码未经官方支持,可能会随时更改或删除.每个…

1. slim.arg_scope(函数, 传参) # 对于同类的函数操作,都传入相同的参数 from tensorflow.contrib import slim as slim import tensorflow as tf @slim.add_arg_scope # 进行修饰操作 def fun1(a=0, b=0): return a + b with slim.arg_scope([fun1], a=2): x = fun1(b=2) print(x)# 4 2. tf.name_sc…

[https://blog.csdn.net/u013921430 转载] slim是一种轻量级的tensorflow库,可以使模型的构建,训练,测试都变得更加简单.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.函数的定义如下: @tf_contextlib.contextmanager def arg_scope(list_ops_or_scope, **kwargs): """Stores the defaul…

slim.arg_scope函数说明如下: Stores the default arguments for the given set of list_ops. For usage, please see examples at top of the file. Args: list_ops_or_scope: List or tuple of operations to set argument scope for or a dictionary containing the current…

https://blog.csdn.net/u013921430/article/details/80915696…

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