Dive into Deep Learning (D2L.ai) resource

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29453 stars · 5114 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Dive into Deep Learning (D2L.ai) is an open-source, interactive deep learning textbook with runnable code in Jupyter notebooks, available in Chinese and English. It combines mathematical theory, critical thinking, and hands-on engineering skills, and is used as teaching material at over 500 universities in 70+ countries.

Use cases

• learn deep learning from scratch with runnable code
• self-study machine learning and neural networks
• find a free deep learning textbook for a university course
• study computer vision and NLP fundamentals with PyTorch examples
• get hands-on practice implementing deep learning math in Python
• prepare for a career as a deep learning application scientist
• adopt an open textbook for teaching an intro to deep learning course

When to choose

• you want an interactive, code-first introduction to deep learning
• you prefer learning by running and modifying code alongside theory
• you need a free, community-maintained resource in Chinese or English
• you are an instructor looking for proven course material with slides and forums

When to avoid

• you need a production deep learning library or framework rather than educational material
• you want exhaustive coverage of the latest research papers rather than fundamentals
• you need a quick reference API documentation instead of a full textbook

Facets

learning-resource · maturity active

deep-learning machine-learning nlp computer-vision deep-learning machine-learning computer-vision education tutorials python cross-platform open-textbook interactive-notebooks jupyter chinese self-study university-course natural-language-processing

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