I notice that TensorFlow doesn't offer Chinese version tutorial/learning material in part of chapters for Chinese users, and the TensorFlow community '[email protected] Google Group' that provides Chinese translate service is unavailable now. So, I decide to create a project to translate the TensorFlow/Keras tutorial for Chinese users.
我注意到TensorFlow的一些教程和学习资料并没有为中国用户提供中文版本,且无法联系上提供翻译内容的TensorFlow社区'[email protected] Google Group'。所以我决定创建一个项目来为中文用户翻译TensorFlow/Keras的教程内容。
The features of this project are:
- offer TensorFlow Keras officical tutorial guide Chinese version
- add my personal comments/notes in each chapter
这个项目的特点有:
- 提供了TensorFlow Keras官方指导的中文版本
- 在每一个章节加入了我个人的评价和笔记内容
Note:
- all code and English content are from TensorFlow Keras officical tutorial guide
- the Chinese version will contain many errors due to my English level and ML understanding
- TensorFlow Keras officially provides the Chinese version of some contents, you can switch the language setting in the guide page to read Chinese version.
- If the Chineses version of a chapter is provided, I will note it in the catalog part and stop translate them.
- For chapter without official Chinese version, I will offer the translated version link and the original link; for chapter with official chinese version, if I have finished the translated work, I will offer the translated version link. If I have not finished (and stop to translate in the future), I will offer the official Chinese version link.
请注意:
- 所有的代码和英文内容来源于TensorFlow Keras官方指导版本
- 囿于本人的英文水平和机器学习知识储备,中文版本不可避免的会含有一些错误,欢迎指出
- TensorFlow Keras已经提供了部分内容的官方中文版本,你可以在对应的指导页面通过切换语言的方式来查看官中版本.
- 如果某章节已经存在官中版本,我会在目录中注明并不再翻译这些内容.
- 对于没有官中版本的内容,我会提供翻译版和原版的链接。对于有官中版本的内容,如果我已经完成翻译工作,我会提供翻译版的链接。如果我还没有完成翻译工作(之后也不会在翻译了),我会提供官中版本的链接(官中版本和原版是相同的联结,显示的语言由页面的语言设定所决定)
- The Sequential model
- The Functional API (official Chinese version released)
- Training and evaluation with the built-in methods (official Chinese version released)
- Making new Layers and Models via subclassing (official Chinese version released)
- Save and load Keras models (official Chinese version released)
- Working with preprocessing layers
- Customize what happens in Model.fit (official Chinese version released)
- Writing a training loop from scratch (official Chinese version released)
- Recurrent Neural Networks (RNN) with Keras
- Masking and padding with Keras (official Chinese version released)
- Writing your own callbacks (official Chinese version released)
- Transfer learning and fine-tuning (official Chinese version released)
- Training Keras models with TensorFlow Cloud