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d2l‑zh is the Chinese-language edition of Dive into Deep Learning, an interactive, open‑source deep learning textbook that combines code, math, and explanatory text. It features runnable Jupyter notebooks compatible with multiple frameworks (e.g., PyTorch, MXNet, TensorFlow), comprehensive theoretical analysis, and exercises. Widely adopted in over 70 countries and used by more than 500 universities for teaching deep learning.
Features
- Chinese translation of the bilingual deep learning textbook
- Executable Jupyter notebooks with multi-framework support (PyTorch, MXNet, TensorFlow)
- Includes mathematics, conceptual explanations, and code side-by-side
- Community-driven updates and annotations
- Exercises, quizzes, and end-of-chapter problems
- Supports cloud-hosted or local execution via Colab or SageMaker
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow d2l-zh
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