基于Keras和即时执行模式 | Based on Keras and Eager Execution
| 简体中文版 | 繁體中文版 | English Version |
这是一本简明的 TensorFlow 2 入门指导手册，基于 Keras 和即时执行模式（Eager Execution），力图让具备一定机器学习及 Python 基础的开发者们快速上手 TensorFlow 2。同时也是纸质版技术手册 《简明的 TensorFlow 2》 的部分草稿。
本手册的所有代码基于 TensorFlow 2.2 正式版。文中的所有示例代码可至 这里 获得。
本手册正于TensorFlow官方微信公众号（TensorFlow_official）连载，可点此查看 连载文章目录 。本手册的原始语言为简体中文，并有 繁体中文版 和 英文版 。本手册是 Google Summer of Code 2019 项目之一，并获得 谷歌开源贡献奖（Google Open Source Peer Bonus） 。
自2020年4月起，在每章文末加入了留言区，欢迎有需要的读者在文末讨论交流。
GitHub： https://github.com/snowkylin/tensorflow-handbook
教程答疑区： https://discuss.tf.wiki
纸质完整版：《简明的 TensorFlow 2》
|
本书纸质版《简明的 TensorFlow 2》由人民邮电出版社（图灵社区）出版，在本在线手册的基础上进行了细致的编排校对，并增加了若干 TensorFlow 高级专题，全彩印刷，为读者带来更好的阅读体验。 豆瓣评分：https://book.douban.com/subject/35217981/ 纸质版购买链接： |
.. toctree::
:maxdepth: 2
:caption: 目录
zh_hans/foreword
zh_hans/preface
zh_hans/introduction
.. toctree::
:maxdepth: 3
:caption: 基础
zh_hans/basic/installation
zh_hans/basic/basic
zh_hans/basic/models
zh_hans/basic/tools
.. toctree::
:maxdepth: 3
:caption: 部署
zh_hans/deployment/export
zh_hans/deployment/serving
zh_hans/deployment/lite
zh_hans/deployment/javascript
.. toctree::
:maxdepth: 3
:caption: 大规模训练与加速
zh_hans/appendix/distributed
zh_hans/appendix/tpu
.. toctree::
:maxdepth: 3
:caption: 扩展
zh_hans/appendix/tfhub
zh_hans/appendix/tfds
zh_hans/appendix/swift
zh_hans/appendix/quantum
.. toctree::
:maxdepth: 3
:caption: 附录
zh_hans/appendix/rl
zh_hans/appendix/docker
zh_hans/appendix/cloud
zh_hans/appendix/jupyterlab
zh_hans/appendix/recommended_books
zh_hans/appendix/terms
.. toctree::
:maxdepth: 2
:caption: 目錄
zh_hant/foreword
zh_hant/preface
zh_hant/introduction
.. toctree::
:maxdepth: 3
:caption: 基礎
zh_hant/basic/installation
zh_hant/basic/basic
zh_hant/basic/models
zh_hant/basic/tools
.. toctree::
:maxdepth: 3
:caption: 部署
zh_hant/deployment/export
zh_hant/deployment/serving
zh_hant/deployment/lite
zh_hant/deployment/javascript
.. toctree::
:maxdepth: 3
:caption: 大規模訓練與加速
zh_hant/appendix/distributed
zh_hant/appendix/tpu
.. toctree::
:maxdepth: 3
:caption: 擴展
zh_hant/appendix/tfhub
zh_hant/appendix/tfds
zh_hant/appendix/swift
zh_hant/appendix/quantum
.. toctree::
:maxdepth: 3
:caption: 附錄
zh_hant/appendix/rl
zh_hant/appendix/docker
zh_hant/appendix/cloud
zh_hant/appendix/jupyterlab
zh_hant/appendix/recommended_books
zh_hant/appendix/terms
This is a concise handbook of TensorFlow 2.0 based on Keras and Eager Execution mode, aiming to help developers with some basic machine learning and Python knowledge to get started with TensorFlow 2.0 quickly.
The code of this handbook is based on TensorFlow 2.0 stable version and beta1 version. All sample code in this handbook can be viewed here .
The English version of this handbook is still in progress (section title with a ✔️ means that the translation of this section is finished). Please refer to https://v1.tf.wiki for the eariler version. This handbook is a project of Google Summer of Code 2019 .
GitHub： https://github.com/snowkylin/tensorflow-handbook
.. toctree::
:maxdepth: 2
:caption: Preface
en/preface
en/introduction
.. toctree::
:maxdepth: 3
:caption: Basic
en/basic/installation
en/basic/basic
en/basic/models
en/basic/tools
.. toctree::
:maxdepth: 3
:caption: Deployment
en/deployment/export
en/deployment/serving
.. toctree::
:maxdepth: 3
:caption: Large-scale Training
en/appendix/distributed
.. toctree::
:maxdepth: 3
:caption: Extensions
en/appendix/tfds
en/appendix/quantum
.. only:: html
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
.. raw:: html
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