TensorFlow学习笔记（一）—— 有用网址

素颜马尾好姑娘i 2021-09-27 09:42 363阅读 0赞

# 参考  #

*  [Tensorflow官方网站][Tensorflow]
 *  [Tensorflow中文社区][Tensorflow 1]
 *  [Tensorflow官方学习网站][Tensorflow 2]
 *  [Tensorflow学习网站][Tensorflow 3]
 *  [TensorFlow官方GitHub仓库][TensorFlow_GitHub]
 *  [雷锋网][Link 1]
 *  [伯乐在线][Link 2]
 *  [TensorFlowNews][]

有用博客

*  [TensorFlow入门教程之0: BigPicture&极速入门][TensorFlow_0_ BigPicture]
 *  [TensorFlow入门教程之1: 基本概念以及理解][TensorFlow_1_]
 *  [TensorFlow入门教程之2: 安装和使用][TensorFlow_2_]
 *  **[TensorFlow入门教程之3: CNN卷积神经网络的基本定义理解][TensorFlow_3_ CNN]**
 *  [TensorFlow入门教程之4: 实现一个自创的CNN卷积神经网络][TensorFlow_4_ _CNN]
 *  [TensorFlow入门教程之5: TensorBoard面板可视化管理][TensorFlow_5_ TensorBoard]
 *  [TensorFlow入门教程之6: AlphaGo 的策略网络（CNN）简单的实现][TensorFlow_6_ AlphaGo _CNN]
 *  [TensorFlow入门教程之7: 训练的模型Model 保存 文件 并使用][TensorFlow_7_ _Model _ _]
 *  [TensorFlow入门教程之8: DNN深度神经网络 的原理 以及 使用][TensorFlow_8_ DNN_ _ _]
 *  [TensorFlow入门教程之9: 接着补充一章MLP多层感知器网络原理以及 使用][TensorFlow_9_ _MLP_]
 *  [TensorFlow入门教程之10: RNN循环网络原理以及使用][TensorFlow_10_ RNN]
 *  [TensorFlow入门教程之11: 使用TensorFlow实现RNN][TensorFlow_11_ _TensorFlow_RNN]
 *  [TensorFlow入门教程之12: 最强网络RSNN深度残差网络 平均准确率96-99%][TensorFlow_12_ _RSNN_ _96-99]
 *  [TensorFlow入门教程之13: 最强网络DLSTM 双向长短期记忆网络（阿里小AI实现）][TensorFlow_13_ _DLSTM _AI]
 *  [TensorFlow入门教程之14: Tensorflow Caffe相互转换][TensorFlow_14_ Tensorflow Caffe]
 *  [TensorFlow入门教程之15: Tensorflow RCNN区域卷积神经网络][TensorFlow_15_ Tensorflow RCNN]
 *  [Tensorflow入门教程之16: 模型AutoEncoder自编码机网络][Tensorflow_16_ _AutoEncoder]
 *  [Tensorflow入门教程之17: Tensorflow人工智能分布式实现][Tensorflow_17_ Tensorflow]

[Tensorflow]: https://www.tensorflow.org/
[Tensorflow 1]: http://www.tensorfly.cn/
[Tensorflow 2]: https://developers.google.cn/machine-learning/crash-course/
[Tensorflow 3]: http://learningtensorflow.com/index.html
[TensorFlow_GitHub]: https://github.com/tensorflow/tensorflow
[Link 1]: https://www.leiphone.com/
[Link 2]: http://blog.jobbole.com/
[TensorFlowNews]: http://www.tensorflownews.com/
[TensorFlow_0_ BigPicture]: http://blog.csdn.net/jdbc/article/details/68957085
[TensorFlow_1_]: http://my.oschina.net/yilian/blog/659618
[TensorFlow_2_]: http://blog.csdn.net/kkk584520/article/details/51476816
[TensorFlow_3_ CNN]: http://my.oschina.net/yilian/blog/661218
[TensorFlow_4_ _CNN]: http://my.oschina.net/yilian/blog/661409
[TensorFlow_5_ TensorBoard]: http://my.oschina.net/yilian/blog/661900
[TensorFlow_6_ AlphaGo _CNN]: http://my.oschina.net/yilian/blog/662029
[TensorFlow_7_ _Model _ _]: http://my.oschina.net/yilian/blog/662539
[TensorFlow_8_ DNN_ _ _]: http://my.oschina.net/yilian/blog/664077
[TensorFlow_9_ _MLP_]: http://my.oschina.net/yilian/blog/664087
[TensorFlow_10_ RNN]: http://my.oschina.net/yilian/blog/665412
[TensorFlow_11_ _TensorFlow_RNN]: http://blog.csdn.net/kkk584520/article/details/51477830
[TensorFlow_12_ _RSNN_ _96-99]: http://my.oschina.net/yilian/blog/667900
[TensorFlow_13_ _DLSTM _AI]: http://my.oschina.net/yilian/blog/667904
[TensorFlow_14_ Tensorflow Caffe]: http://my.oschina.net/yilian/blog/672135
[TensorFlow_15_ Tensorflow RCNN]: http://my.oschina.net/yilian/blog/673051
[Tensorflow_16_ _AutoEncoder]: http://my.oschina.net/yilian/blog/687364
[Tensorflow_17_ Tensorflow]: http://my.oschina.net/yilian/blog/693660