# TensorFlow1.0

## TensorFlow1.0

* [返回顶层目录](https://luweikxy.gitbook.io/machine-learning-notes/summary)
* [返回上层目录](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow)
* [TensorFlow基础](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow1.0/basis)
* [TensorFlow基础概念解析](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow1.0/basic-concept-analysis)
* [TensorFlow机器学习基础](https://github.com/luweikxy/machine-learning-notes/tree/e3cb097ea9f05763f85dea2bf823b53c26c50eae/content/coding/tensorflow/tensorflow1.0/machine-learning-foundation/machine-learning-foundation.md)
* [Tensorflow分布式架构](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow1.0/distributed-architecture)
* [Tensorflow使用GPU](https://github.com/luweikxy/machine-learning-notes/tree/e3cb097ea9f05763f85dea2bf823b53c26c50eae/content/coding/tensorflow/tensorflow1.0/gpu/gpu.md)

## tf.saver

[tensorflow保存和恢复模型saver.restore](https://blog.csdn.net/qq_37285386/article/details/88957558)

[tensorflow学习笔记(三十四)：Saver(保存与加载模型)](https://blog.csdn.net/u012436149/article/details/56665612)

[TensorFlow的convert\_variables\_to\_constants函数](https://blog.csdn.net/sinat_29957455/article/details/78511119)

[Tensorflow将模型导出为一个文件及接口设置](https://blog.csdn.net/huachao1001/article/details/78502910)

## variables

[关于tensor的shape理解](https://blog.csdn.net/SixSheep_/article/details/86493682?depth_1-utm_source=distribute.pc_relevant.none-task\&utm_source=distribute.pc_relevant.none-task)

[tensorflow里面name\_scope, variable\_scope等如何理解？](https://www.zhihu.com/question/54513728)

[Tensorflow小技巧整理：tf.trainable\_variables(), tf.all\_variables(), tf.global\_variables()的使用](https://blog.csdn.net/cerisier/article/details/86523446)

[tensorflow变量共享——VariableScope的reuse模式、tf.get\_variable()、tf.Variable() 探索](https://blog.csdn.net/xpy870663266/article/details/98950853?depth_1-utm_source=distribute.pc_relevant.none-task\&utm_source=distribute.pc_relevant.none-task)

[TensorFlow的变量管理：变量作用域机制](https://blog.csdn.net/zbgjhy88/article/details/78960388?depth_1-utm_source=distribute.pc_relevant.none-task\&utm_source=distribute.pc_relevant.none-task)

[In TensorFlow, what is tf.identity used for?](https://stackoverflow.com/questions/34877523/in-tensorflow-what-is-tf-identity-used-for)

[Tensorfow中使用tf.identity()的作用](https://blog.csdn.net/qq_23981335/article/details/81361748)

[tensorflow中的全局变量GLOBAL\_VARIABLES及局部变量LOCAL\_VARIABLES](https://blog.csdn.net/shwan_ma/article/details/84852843)

[tf.GraphKeys和变量初始化](https://blog.csdn.net/u010365819/article/details/88125375)

[What's the difference between tf.placeholder and tf.Variable?](https://stackoverflow.com/questions/36693740/whats-the-difference-between-tf-placeholder-and-tf-variable)

## tfrecords

[tensorflow中tfrecords格式数据读写小记](https://zhuanlan.zhihu.com/p/40588218)

[TF record笔记](https://zhuanlan.zhihu.com/p/60035120)

[利用spark生成tfrecord文件](https://blog.csdn.net/luoyexuge/article/details/89488101)

[spark 生成TensorFlow的tfrecord 文件](https://zhuanlan.zhihu.com/p/51819048)

## tf.metrics

[深入理解TensorFlow中的tf.metrics算子](https://zhuanlan.zhihu.com/p/42438077)

## gpu

[TensorFlow多GPU并行](https://dataxujing.github.io/TensorFlow-GPU-%E5%B9%B6%E8%A1%8C/)

## Eager模式

[Tensorflow入门——Eager模式像原生Python一样简洁优雅](https://www.jianshu.com/p/883addf4a1b2)


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