exacity/deeplearningbook-chinese

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.