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Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861，公众号：磐创AI，微信群二维码：http://www.tensorflownews.com/
| Date | Stars |
|---|---|
| 2026-07-24 | 1380 |
| 2026-07-25 | 1380 |
| 2026-07-28 | 1380 |
| 2026-07-30 | 1380 |
| 2026-08-06 | 1380 |
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# Awesome-TensorFlow-Chinese TensorFlow 中文资源全集，学习路径推荐： * 官方网站，初步了解。 * 安装教程，安装之后跑起来。 * 入门教程，简单的模型学习和运行。 * 实战项目，根据自己的需求进行开发。 如果有问题，欢迎在这里提问(注册邀请码在 QQ 群：522785813)： TensorFlow 中文社区 http://www.tensorflow123.com/ 很多内容参考下面这个英文项目，收集了中文资源: > Inspired by https://github.com/jtoy/awesome-tensorflow ## 官方网站 * 官网:https://www.tensorflow.org/ * 中文:https://tensorflow.google.cn/ * GitHub:https://github.com/tensorflow ## 安装教程 ### 中文安装教程 * Mac安装:http://www.cnblogs.com/tensorflownews/p/7298646.html * ubuntu 16.04 安装 tensorflow-gpu:http://www.tensorflownews.com/2017/09/02/tensorflow-gpu-install-ubuntu-16-04/ * 极客学院教程:http://wiki.jikexueyuan.com/project/tensorflow-zh/get_started/os_setup.html ### 官方安装教程（建议用官方教程，现在官网可以直接访问了。） * Mac:https://tensorflow.google.cn/install/install_mac * Windows:https://tensorflow.google.cn/install/install_windows * Linux:https://tensorflow.google.cn/install/install_linux ## 入门教程 ### 官方入门教程 * 开始学习:https://tensorflow.google.cn/get_started/ * MNIST 针对初学者的字体识别:https://tensorflow.google.cn/get_started/mnist/beginners * MNIST 针对专业的深度字体识别:https://tensorflow.google.cn/get_started/mnist/pros ### 入门教程 * 极客学院（中文官方文档）:http://wiki.jikexueyuan.com/project/tensorflow-zh/ * w3cschool（中文官方文档）:https://www.w3cschool.cn/tensorflow_python/ * TensorFlowNews（中文项目实战）:https://zhuanlan.zhihu.com/TensorFlownews * 莫烦Python（中文视频教程）:http://i.youku.com/pythontutorial ## 实战项目 ### 官方实战项目 #### Models built with TensorFlow * models:https://github.com/tensorflow/models #### Magenta: Music and Art Generation with Machine Intelligence * magenta:https://github.com/tensorflow/magenta #### TensorFlow Neural Machine Translation Tutorial * nmt:https://github.com/tensorflow/nmt ## 书籍（推荐） Deep Learning http://www.tensorflownews.com/2017/08/29/deep-learning-an-mit-press-book Deep Learning 中文翻译 http://www.tensorflownews.com/2017/08/29/deep-learning-book-chinese-translation/ ## 社区群组 ### QQ群 522785813 ### 微信群 微信群二维码有效期太短了，我博客保持更新。 http://panchuang.net/ ## 教程 * [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) - 针对初学者的 TensorFlow 教程和代码 * [TensorFlow Tutorial](https://github.com/pkmital/tensorflow_tutorials) - 从基础知识到有趣的 tensorflow 应用 * [TensorFlow Tutorial](https://github.com/nlintz/TensorFlow-Tutorials) - 基于谷歌的 TensorFlow 框架介绍深度学习 * [Sungjoon's TensorFlow-101](https://github.com/sjchoi86/Tensorflow-101) - TensorFlow 教程用 Python 的 Jupyter Notebook * [Terry Um’s TensorFlow Exercises](https://github.com/terryum/TensorFlow_Exercises) - Re-create the codes from other TensorFlow examples * [Installing TensorFlow on Raspberry Pi 3](https://github.com/samjabrahams/tensorflow-on-raspberry-pi) - TensorFlow compiled and running properly on the Raspberry Pi * [Classification on time series](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition) - Recurrent Neural Network classification in TensorFlow with LSTM on cellphone sensor data * [Getting Started with TensorFlow on Android](https://omid.al/posts/2017-02-20-Tutorial-Build-Your-First-Tensorflow-Android-App.html) - Build your first TensorFlow Android app * [Predict time series](https://github.com/guillaume-chevalier/seq2seq-signal-prediction) - Learn to use a seq2seq model on simple datasets as an introduction to the vast array of possibilities that this architecture offers * [Single Image Random Dot Stereograms](https://github.com/Mazecreator/TensorFlow-SIRDS) - SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective. * [CS20 SI: TensorFlow for DeepLearning Research](http://web.stanford.edu/class/cs20si/syllabus.html) - Stanford Course about Tensorflow from 2017 - [Syllabus](http://web.stanford.edu/class/cs20si/syllabus.html) - [Unofficial Videos](https://youtu.be/g-EvyKpZjmQ?list=PLSPPwKHXGS2110rEaNH7amFGmaD5hsObs) * [TensorFlow World](https://github.com/astorfi/TensorFlow-World) - Concise and ready-to-use TensorFlow tutorials with detai
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fendouai · 磐创AI · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:bacd1cdfcdab9f5e, topic:deep-learning, topic:tensorflow
matched fp:bacd1cdfcdab9f5e, topic:awesome, readme:tutorial, readme:course