动手学深度学习

Dive into Deep Learning is a textbook combining mathematics, code and practice, with chapters, framework variants, course and notebook links on its Chinese site.

Features described on the official site

• The contents cover data processing, maths, neural networks, computer vision, attention and natural language processing.
• The site lists MXNet, PyTorch, Jupyter notebooks, courses and an English edition.

Suggested starting workflow

• Read prerequisites and installation chapters for your background.
• Choose a framework and edition, then check dependencies and hardware.
• Use a small exercise to connect formulas and code before model experiments.

These are editorial starting suggestions based on product purpose, not workflows tested by this site.

Before you use it

• Not tested hands-on here; feature descriptions come from official material.
• Pricing, regions, languages, commercial use, watermarks and export conditions have not been verified for a single plan.
• Frameworks and editions are not assumed to share an environment. Readable materials do not establish free compute, cloud labs or derivative resources. No code was executed.