Dive into Deep Learning
Table Of Contents
Dive into Deep Learning
Table Of Contents

Dive into Deep Learning

Dive into Deep Learning

An interactive deep learning book with code, math, and discussions

The contents are under revision


  • 【Stay tuned】 To keep track of the latest updates, please follow D2L's open-source project.
  • 【Chinese version】 The Chinese version of D2L is published and the hard copy can be ordered. See details at zh.d2l.ai.
  • 【Teaching】 Slides, Jupyter notebooks, assignments, and videos of the Berkeley course can be found at the syllabus page.

Aston Zhang

Amazon Applied Scientist

Zack C. Lipton

Amazon Applied Scientist
CMU Assistant Professor

Mu Li

Amazon Principal Scientist

Alex J. Smola

Amazon VP/Distinguished Scientist
TU Berlin Ph.D.

We thank all the community contributors
for making this open source book better for everyone.

Contribute to the book.

Each section is an executable Jupyter notebook

You can modify the code and tune hyperparameters to get instant feedback to accumulate practical experiences in deep learning.

Mathematics + Figures + Code

We offer an interactive learning experience with mathematics, figures, code, text, and discussions, where concepts and techniques are illustrated and implemented with experiments on real data sets.

Active community support

You can discuss and learn with thousands of peers in the community through the link provided in each section.

D2L as a textbook or a reference book

Georgia Institute of Technology
University of California, Berkeley
University of California, Los Angeles
University of California, Santa Barbara
University of Illinois at Urbana-Champaign
University of Maryland
University of New Hampshire
University of North Carolina at Chapel Hill
University of Science and Technology of China
University of Technology Sydney
University of Washington
Universitat Politècnica de Catalunya
Shanghai Jiao Tong University
Shanghai University of Finance and Economics
Zhejiang University

BibTeX entry for citing the book

          title={Dive into Deep Learning},
          author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola},

Table of contents