动手学深度学习

《动手学深度学习》 is a deep learning textbook designed specifically for Chinese readers, aiming to provide a runnable and discussable learning platform. The book covers implementations of various deep learning frameworks, including PyTorch, NumPy/MXNet, TensorFlow, and PaddlePaddle, allowing readers to flexibly choose the tools that suit them best.

主要特点

• Interactive Learning: Each section includes runnable Jupyter notebooks, allowing readers to freely modify code and hyperparameters for instant feedback.
• Rich Resources: Provides free resources such as lecture materials, assignments, and teaching videos to help readers better understand the core concepts of deep learning.
• Active Community: Each chapter in the book includes links for discussion and exchange with thousands of learners.

主要用途

This book is used as a textbook or reference book in over 500 universities worldwide, suitable for beginners in deep learning as well as experienced researchers. Whether for self-study or classroom teaching, the content in this book provides practical knowledge and skills for readers.

书籍版本

The second edition of the printed book is available on JD.com and Dangdang, with content that is largely the same as the online version but optimized in style and terminology to meet publishing standards and academic norms. The online content also includes new implementations of PaddlePaddle, ensuring that readers can access the latest deep learning technologies.

By combining text, formulas, and illustrations, the book elaborates on commonly used models and algorithms in deep learning, providing code examples to implement these models from scratch, helping readers practice on real data and accumulate practical experience in deep learning.