d2l zh

Dive into Deep Learning (D2L.ai)

Second Edition: zh.D2L.ai | First Edition: zh-v1.D2L.ai | Install and use the source code in the book: Second Edition First Edition

The best way to understand deep learning is to apply what you learn.

This open source project represents our attempt to teach readers the concepts, background, and code; we will illustrate the critical thinking required to analyze the problem, the mathematics required to solve the problem, and the implementation of the solution all in one place Engineering skills required for the program.

Our goal is to create a unified resource that achieves the following goals:

1. Free and available to everyone online;
2. Provide enough technical depth to help readers actually become deep learning application scientists: not only understand mathematical principles, but also be able to implement and continuously improve methods;
3. Contains working code that shows readers how to solve problems in practice. This not only directly corresponds to mathematical formulas into actual code, but also allows you to modify the code, observe the results, and gain experience in time;
4. Allows us and the entire community to continuously iterate content quickly to keep up with the still rapidly evolving field of deep learning;
5. This is supplemented by a forum containing questions and answers on technical details, allowing everyone to answer questions and exchange experiences.

Universities using this book (English and Chinese versions) as a textbook or reference book

If this book is helpful to you, please Star (★) this repository or cite the English version of this book:

 @book{zhang2023dive,
    title={Dive into Deep Learning},
    author={Zhang, Aston and Lipton, Zachary C. and Li, Mu and Smola, Alexander J.},
    publisher={Cambridge University Press},
    note={url{https://D2L.ai}},
    year={2023}
}

English version of this book

Although paper books have been published, the field of deep learning is still developing rapidly. In order to get help from the wider English open source community and thereby improve the quality of this book, the new version of this book will continue to be written in English and moved back to the Chinese version.

Welcome to pay attention to the English open source project of this book.

Chinese and English teaching resources

University of California, Berkeley, 2019 spring semester Introduction to Deep Learning course materials (Chinese version of the courseware including teaching video address is also provided).

Recommended by academics

"Dive into this book if you want to dive into deep learning!"

— Jiawei Han, ACM Fellow, IEEE Fellow, Professor Michael Aiken Chair in the Department of Computer Science, University of Illinois at Urbana-Champaign, USA

"This is a highly welcome addition to the machine learning literature."

— Bernhard Schölkopf, academician of ACM, academician of the German National Academy of Sciences, and director of the Intelligent Systems Institute of the Max Planck Institute in Germany

"The code in the book can be said to be 'what you learn is what you use'."

— Zhou Zhihua, academician of ACM, IEEE, AAAS, director of the Department of Computer Science and Technology, Nanjing University

"This book can help deep learning practitioners quickly improve their abilities."

— Zhang Tong, Fellow of ASA, Fellow of IMS, Professor of Department of Computer Science and Department of Mathematics, Hong Kong University of Science and Technology

Recommended by industry

"An excellent deep learning textbook worthy of the attention of anyone who wants to understand how deep learning can ignite the artificial intelligence revolution."

— Jensen Huang, founder & CEO of NVIDIA

""Hands-on Deep Learning" is the most suitable study for R&D engineers in the industry. I highly recommend it to readers without reservation."

—Yu Kai, founder & CEO of Horizon Company

"Highly recommend this book! I especially appreciate this learning method that integrates hands and brain."

— Qi Yuan, “Hao Qing” Professor at Fudan University and Dean of the Institute of Artificial Intelligence Innovation and Industry

""Hands-on Deep Learning" is a book that is easily addictive for learners."

— Shen Qiang, founding partner of Jiangmen Venture Capital

contribute

Thanks to the community contributors who improve this open source book for everyone who reads it.

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