deep learning education / interactive textbook
动手学深度学习 (D2L) is an open-source, interactive Chinese/English textbook that teaches deep learning through runnable Jupyter notebooks, math, and code.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose this English-only interactive book when you want a top-down, fastai-centered curriculum instead of D2L's math-first, framework-neutral approach.
The fastai book, published as Jupyter Notebooks
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose this classic static textbook for rigorous math theory without runnable code.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
These projects were analysed and named d2l-zh among their alternatives. The relationship is not symmetric — how d2l-zh rates them is a separate judgement, made when d2l-zh is analysed in its own right.
calls d2l-zh “choose for an interactive, runnable Chinese deep learning book with code, not a static translation.”
Deep Learning Book Chinese Translation
calls d2l-zh “choose when you want a deeper, multi-framework interactive textbook with math and exercises, accepting less recent updates.”
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
calls d2l-zh “choose for an interactive, code-first textbook with runnable examples; the seed is theory-only and has no public code.”
邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。
calls d2l-zh “Choose for an interactive, executable deep-learning book, but note it has not been updated in over 18 months.”
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
calls d2l-zh “Interactive deep learning book with runnable code; choose if you want hands-on exercises and modern topic coverage.”
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
calls d2l-zh “Interactive multi-framework deep learning book in Chinese; choose for broader coverage and community maintenance.”
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
calls d2l-zh “Choose when you want a complete interactive textbook with code and math in Chinese rather than MIT lab notebooks.”
Lab Materials for MIT 6.S191: Introduction to Deep Learning
calls d2l-zh “choose it for a rigorous, university-style deep learning textbook with executable code, narrower than an AI survey.”
12 Weeks, 24 Lessons, AI for All!
calls d2l-zh “Choose for the comprehensive 'Dive into Deep Learning' Chinese book code, but it covers deep learning only.”
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
calls d2l-zh “when you need a structured, code-first Chinese DL textbook rather than lecture-note snippets; it hasn't been updated in 2 years.”
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
calls d2l-zh “choose it for the Chinese edition of the D2L deep learning book code, though not recently pushed.”
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
calls d2l-zh “For a systematic Chinese deep learning textbook with code, despite being inactive.”
A resource for learning about Machine learning & Deep Learning
calls d2l-zh “When you want a polished, comprehensive Chinese ML+DL notebook textbook and can accept a repository not updated recently.”
AI实战-practicalAI 中文版