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MIT Deep Learning Book (beautiful and flawless PDF version)

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville.

If this repository helps you in anyway, show your love ❤️ by putting a on this project ✌️

Deep Learning

An MIT Press book Ian Goodfellow and Yoshua Bengio and Aaron Courville

This is the most comprehensive book available on the deep learning and available as free html book for reading at

Comment on this book by Elon Musk

Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

This is not available as PDF download. So, I have taken the prints of the HTML content and binded into a flawless PDF version of the book, as suggested by the website itself says:

What is the best way to print the HTML format?

Printing seems to work best printing directly from the browser, using Chrome. Other browsers do not work as well.

This repository contains

  1. The pdf version of the book which is available in html at
  2. The book is available in chapter wise PDFs as well as complete book in PDF.

Some useful links for this learning:

  1. Exercises
  2. Lecture Slides
  3. External links

If you like this book then buy a copy of it and keep it with you forever. This will help you and also support the authors and the people involved in the effort of bringing this beautiful piece of work to public. Buy it from amazon, It is not expensive ($72). Amazon

An MIT Press book

Ian Goodfellow, Yoshua Bengio and Aaron Courville

The Deep Learning textbook is a resource intended to help students and practitioners
enter the field of machine learning in general and deep learning in particular. 
The online version of the book is now complete and will remain available online for free. 

Citing the book

To cite this book, please use this bibtex entry:

    title={Deep Learning},
    author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
    publisher={MIT Press},
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