Dive into Deep Learning

Dive into Deep Learning

Interactive deep learning book with code, math, and discussions

Implemented with NumPy/MXNet, PyTorch, and TensorFlow

Adopted at 140 universities from 35 countries

Announcements

Authors

Aston Zhang

Amazon Senior Scientist

Zack C. Lipton

Amazon Scientist
CMU Assistant Professor

Mu Li

Amazon Senior Principal Scientist

Alex J. Smola

Amazon VP/Distinguished Scientist

Chapter Authors

Shuai Zhang

ETH Zürich Postdoctoral Researcher
Recommender Systems

Yi Tay

Google Scientist
Recommender Systems

Framework Adaptation Authors

Anirudh Dagar

IIT Roorkee Student
PyTorch Adaptation

Yuan Tang

Ant Group Senior Engineer
TensorFlow Adaptation

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

Contribute to the book.

Star Fork

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

Alexandria University
Ateneo de Naga University
Birla Institute of Technology and Science, Hyderabad
Cairo University
Carnegie Mellon University
College of Engineering Pune
Columbia University
Duke University
Durban University of Technology
Emory University
Federal University Lokoja
Fudan University
Gayatri Vidya Parishad College of Engineering (Autonomous)
Gazi Üniversitesi
Georgia Institute of Technology
Golden Gate University
Habib University
Hangzhou Dianzi University
Hankuk University of Foreign Studies
Harbin Institute of Technology
Hasso-Plattner-Institut
Heinrich-Heine-Universität Düsseldorf
Hiroshima University
Ho Chi Minh City University of Foreign Languages and Information Technology
Hochschule Bremen
Hochschule für Technik und Wirtschaft
Hong Kong University of Science and Technology
Huazhong University of Science and Technology
Imperial College London
Indian Institute of Technology Bombay
Indian Institute of Technology Jodhpur
Indian Institute of Technology Kanpur
Indian Institute of Technology Kharagpur
Indian Institute of Technology Mandi
Indian Institute of Technology Ropar
Indira Gandhi National Open University
Indraprastha Institute of Information Technology, Delhi
Institut de recherche en informatique de Toulouse
Institut Supérieur d'Informatique et des Techniques de Communication
Institut Supérieur De L'electronique Et Du Numérique
Instituto Tecnológico Autónomo de México
İstanbul Teknik Üniversitesi
IT-Universitetet i København
King Abdullah University of Science and Technology
Kongu Engineering College
KPR Institute of Engineering and Technology
Kyungpook National University
Lancaster University
Leibniz Universität Hannover
Leuphana University of Lüneburg
London School of Economics & Political Science
Massachusetts Institute of Technology
McGill University
Milwaukee School of Engineering
Minia University
Monash University
Multimedia University
National Chung Hsing University
National Institute of Technical Teachers Training&Research
National Institute of Technology, Warangal
National Taiwan University
National United University
National University of Singapore
Nazarbayev University
New York University
Newman University
North Ossetian State University
Northeastern University
Ohio University
Peking University
Politecnico di Milano
Pontificia Universidad Católica de Chile
Portland State University
Purdue University
Queen's University
Radboud Universiteit
Rowan University
Rutgers, The State University of New Jersey
Sapienza Università di Roma
Shanghai Jiao Tong University
Shanghai University of Finance and Economics
Sogang University
Southern New Hampshire University
St. Pölten University of Applied Sciences
Stanford University
Stevens Institute of Technology
Technische Universiteit Delft
Tekirdağ Namık Kemal Üniversitesi
Texas A&M University
Thapar Institute of Engineering and Technology
The State University of New York at Binghamton
The University of Texas at Austin
Tsinghua University
Universidad Carlos III de Madrid
Universidad de Zaragoza
Universidad Militar Nueva Granada
Universidad Nacional Agraria La Molina
Universidad Nacional de Colombia Sede Manizales
Universidade Federal de Minas Gerais
Universidade Federal de Ouro Preto
Universidade Federal do Rio Grande
Universidade NOVA de Lisboa
Universidade Presbiteriana Mackenzie
Università degli Studi di Brescia
Università degli Studi di Catania
Università degli Studi di Padova
Universität Heidelberg
Universitat Politècnica de Catalunya
Universitatea de Vest din Timișoara
Université Paris-Saclay
University of Arkansas
University of Augsburg
University of California, Berkeley
University of California, Los Angeles
University of California, San Diego
University of California, Santa Barbara
University of Cambridge
University of Cincinnati
University of Illinois at Urbana-Champaign
University of Liège
University of Maryland
University of Minnesota, Twin Cities
University of New Hampshire
University of North Carolina at Chapel Hill
University of North Texas
University of Northern Philippines
University of Pennsylvania
University of Science and Technology of China
University of Southern Maine
University of St Andrews
University of Technology Sydney
University of Washington
University of Waterloo
University of Wisconsin Madison
Univerzita Komenského v Bratislave
Vietnamese-German University
Wageningen University
West Virginia University
Western University
Xavier University Bhubaneswar
Yeshiva University
Yunnan University
Zhejiang University

If you use D2L to teach (or plan to) and would like to receive a free hardcopy, please contact us.

BibTeX entry for citing the book


@book{zhang2020dive,
    title={Dive into Deep Learning},
    author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola},
    note={\url{https://d2l.ai}},
    year={2020}
}

Table of contents