A Concise Handbook of TensorFlow

A new version of this handbook for TensorFlow 2.0 is available as a GSoC 2019 project. See this blog for details.

This handbook is a concise introduction to TensorFlow based on Eager Execution mode, trying to help researchers and developers get started with TensorFlow quickly with some basic machine learning and Python knowledge. Supported by Google China Developer Relations team and TensorFlow engineering team. Both Chinese and English version are available online for free.

• Read Online: https://v1.tf.wiki
• PDF Download:
  • English: https://github.com/snowkylin/TensorFlow-cn/releases
  • Chinese: https://www.tensorflowers.cn/t/6230
• Code: https://github.com/snowkylin/TensorFlow-cn/tree/master/source/_static/code
• GitHub Repo: https://github.com/snowkylin/TensorFlow-cn (this is an open-source project!)

Update:

• Sept. 2018 - Thanks to Jeff Dean’s retweet, recommendation from TensorFlow offical twitter account and engineering lead, as well as support from Google China Developer Relations team, I will write an extended version of this online handbook for publication with three awesome GDEs (Zhuohuan Li, Jingtian Peng and Jinpeng Zhu).
• Sept. 2018 - Start using new domain tf.wiki donated by my friend Luke Cheng.
• Aug. 2018 - Thanks to three of my friends Zida Jin, Ming and Ji-An Li, the English version of this handbook is ready for release.