Skip to content
forked from d2l-ai/d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

License

Notifications You must be signed in to change notification settings

Laurawly/d2l-en

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Dive into Deep Learning (D2L Book)

Build Status

Book website | STAT 157 Course at UC Berkeley, Spring 2019

Contribute (learn how)

This open source book has benefited from pedagogical suggestions, typo corrections, and other improvements from community contributors. Your help is valuable for making the book better for everyone. We will acknowledge each D2L contributor in the book and send a free book (hard copy) to the first 100 contributors when it is published.

Dear D2L contributors, please email your GitHub username, name, and mailing address to [email protected]. Thanks.

Chinese version | Discuss and report issues

Cite

Please use the following bibtex entry to cite this book:

@book{zhang2019dive,
    title={Dive into Deep Learning},
    author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola},
    note={\url{https://www.d2l.ai}},
    year={2019}
}

About

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 67.5%
  • TeX 24.1%
  • HTML 7.7%
  • Shell 0.7%