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 for students, engineers, and researchers.

The contents are under revision.

Aston Zhang

Amazon Applied Scientist
UIUC Ph.D.

Zack C. Lipton

Amazon Applied Scientist
CMU Assistant Professor
UCSD Ph.D.

Mu Li

Amazon Principal Scientist
CMU Ph.D.

Alex J. Smola

Amazon Director
TU Berlin Ph.D.

We thank all the D2L contributors for improving the book.

Become a D2L contributor, and you will be acknowledged in 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.

Table of contents