Is Deep-Learning-with-TensorFlow-book open source?

Yes — dragen1860/Deep-Learning-with-TensorFlow-book is an open-source project tracked on heatdrop.

What language is Deep-Learning-with-TensorFlow-book written in?

dragen1860/Deep-Learning-with-TensorFlow-book is primarily written in Jupyter Notebook.

How popular is Deep-Learning-with-TensorFlow-book?

dragen1860/Deep-Learning-with-TensorFlow-book has 13.2k stars on GitHub.

Where can I find Deep-Learning-with-TensorFlow-book?

dragen1860/Deep-Learning-with-TensorFlow-book is on GitHub at https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book.

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dragen1860/Deep-Learning-with-TensorFlow-book

龙书: A Chinese deep learning textbook that hit GitHub #1

To bundle a TensorFlow 2 textbook, code notebooks, and lecture slides into one free repo for Chinese-speaking beginners.

★13.2k stars Jupyter Notebook Learning

View on GitHub ↗ Homepage ↗

Not currently ranked — collecting fresh signals.

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What it does “龙书” (Dragon Book) is an open-source Chinese deep learning textbook built around TensorFlow 2. The repo distributes a PDF e-book, executable Jupyter Notebook examples, and PowerPoint slides aimed at classroom teaching. It pitches itself as a theory-plus-practice on-ramp for beginners and lists adoption by a wide range of Chinese universities and colleges.

The interesting bit The repo sits at the center of a small publishing ecosystem: a printed paper edition, paid video courses on NetEase and Bilibili, an English translation repo, and even a PyTorch twin. For learners, the GitHub download is just one entry point into a much larger curriculum.

Key highlights

13,237 stars; the README claims the repo hit #1 on GitHub’s global daily trending list for multiple consecutive days
Materials include a PDF e-book, IPython Notebooks (some community-converted), and downloadable PPTs for verified teachers
Traditional Chinese print edition already published; English and PyTorch variants live in separate repositories
Adopted by institutions from 电子科技大学 to 高雄市立新莊高級中學 as a textbook or reference

Caveats

Licensed for non-commercial use only (仅限非商业用途), so it is not a standard permissive open-source project
The primary content is in Chinese; English speakers should head to the separate EN repo
Technical depth and exact chapter coverage are unclear without downloading the PDF or parsing the table-of-contents images

Verdict Worth a look if you read Chinese and want a structured, classroom-tested path into TensorFlow 2 with slides and video companions. Skip it if you need a permissive open-source license or are already past the beginner stage.

Frequently asked

What is dragen1860/Deep-Learning-with-TensorFlow-book?: To bundle a TensorFlow 2 textbook, code notebooks, and lecture slides into one free repo for Chinese-speaking beginners.
Is Deep-Learning-with-TensorFlow-book open source?: Yes — dragen1860/Deep-Learning-with-TensorFlow-book is an open-source project tracked on heatdrop.
What language is Deep-Learning-with-TensorFlow-book written in?: dragen1860/Deep-Learning-with-TensorFlow-book is primarily written in Jupyter Notebook.
How popular is Deep-Learning-with-TensorFlow-book?: dragen1860/Deep-Learning-with-TensorFlow-book has 13.2k stars on GitHub.
Where can I find Deep-Learning-with-TensorFlow-book?: dragen1860/Deep-Learning-with-TensorFlow-book is on GitHub at https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book.