exacity/deeplearningbook-chinese

★ 37,271TeXAudience · researcherComplexity · 1/5DormantSetup · easy

Mindmap

mindmap
  root((repo))
    What it does
      Chinese translation
      Deep Learning theory
      Academic textbook
    Content covered
      Linear algebra
      Neural networks
      Convolutional networks
      Generative models
    How it works
      Volunteer translators
      Peer review process
      TeX source files
      PDF output
    Use cases
      Study deep learning
      Learn AI foundations
      Chinese-language reference
    Audience
      Chinese speakers
      Students
      Researchers

mindmap root((repo)) What it does Chinese translation Deep Learning theory Academic textbook Content covered Linear algebra Neural networks Convolutional networks Generative models How it works Volunteer translators Peer review process TeX source files PDF output Use cases Study deep learning Learn AI foundations Chinese-language reference Audience Chinese speakers Students Researchers

Things people build with this

USE CASE 1

Study deep learning theory and mathematics in Chinese without needing to read the English original.

USE CASE 2

Learn foundational concepts like neural networks, convolutional networks, and generative models from a comprehensive academic source.

USE CASE 3

Reference a peer-reviewed Chinese translation of a canonical AI textbook for coursework or research.

Tech stack

TeXLaTeX

Getting it running

Difficulty · easy Time to first run · 5min

License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

This repository is a community-produced Chinese translation of the book "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, one of the foundational academic textbooks on the mathematics and concepts behind modern AI. The project addressed a straightforward but important problem: the original book was only available in English, creating a significant barrier for Chinese-speaking students and researchers who wanted to study deep learning from a comprehensive theoretical source. The translation was produced collaboratively, with different chapters handled by different volunteer translators and then reviewed by proofreaders who compared the Chinese text against the English original to check accuracy. Each chapter went through at least two rounds of review: a general readability pass and a side-by-side Chinese-English comparison. The source files are in TeX, the typesetting format used by academic publishing, which the original book also uses. A PDF of the complete translated text was released publicly as a download. The README notes that while the translation is over 90% readable and accurate, it is a volunteer effort with known limitations; the maintainers recommend that researchers still consult the English original for precise technical reading. A printed Chinese edition was also published through a Chinese publisher for those who prefer a physical copy. You would use this repository if you are a Chinese speaker studying deep learning, topics like linear algebra for AI, probability, neural network architectures, convolutional networks, recurrent networks, autoencoders, and generative models, and find the original English text difficult to follow. The source is TeX, the compiled output is a PDF. Note that due to copyright constraints, image files are not included in the repository.

Copy-paste prompts

Prompt 1

I'm a Chinese speaker learning deep learning. How do I download and use the Chinese Deep Learning textbook from this repository?

Prompt 2

Show me how to compile the TeX source files in this repository to generate the PDF of the Chinese Deep Learning translation.

Prompt 3

What chapters are covered in this Chinese translation of the Deep Learning book, and how complete is the translation?

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