d2l-ai/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Integrates executable Jupyter notebooks with MXNet, PyTorch, and TensorFlow backends, allowing readers to modify and experiment with code alongside mathematical derivations. The content spans foundational concepts through advanced architectures (CNNs, RNNs, Transformers), with chapters combining theory, equations, and production-ready implementations that directly map mathematical formulas to working code.
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