mit-deep-learning-book-pdf README

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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.

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A good project structure is very important for data-science and data-analytics work. I have open-sourced a very effective repo with project starter template: Repo Link

https://github.com/janishar/data-analytics-project-template

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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 http://www.deeplearningbook.org/

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

http://www.deeplearningbook.org/ 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 http://www.deeplearningbook.org/
  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:

@book{Goodfellow-et-al-2016,
    title={Deep Learning},
    author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
    publisher={MIT Press},
    note={\url{http://www.deeplearningbook.org}},
    year={2016}
}

mit-deep-learning-book-pdf (janishar/mit-deep-learning-book-pdf)

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Mit-deep-learning-book-pdf
What is this?This repo provides PDF versions (chapter-wise and complete) of the MIT Press book 'Deep Learning' by Ian Goodfellow, Yoshua Bengio and Aaron Courville, which is otherwise only available as an HTML book online.
Is this a book or a code library?It is just a collection of PDF files (printed from the official HTML book), not code or software.
How do I use this?Just browse the repo and download the chapter PDF you want, or the complete book PDF.
Do I need anything special to read these files?No, any standard PDF reader is enough since these are plain PDF documents.
Is this an official PDF release of the book?No, the official book is only published as HTML; the author manually printed the HTML pages from Chrome into PDFs himself.
What extra study resources come with the book PDFs?The repo links to exercises, lecture slides, and external resources related to the book's content.
Why did the author make PDFs instead of just linking the HTML book?The official book site only offers an HTML version with no PDF download, so the author printed it via Chrome into a clean PDF for easier offline reading.
Who endorsed this book?Elon Musk is quoted calling it the only comprehensive book on deep learning, written by three experts in the field.
What are similar projects?nndl, ailearning, Deep-Learning-with-TensorFlow-book, deeplearningbook-chinese, Coursera-ML-AndrewNg-Notes, 100-Days-Of-ML-Code, mml-book.github.io, Book-Mathematical-Foundation-of-Reinforcement-Learning
Which topics is it in?lecture-notes, linear-algebra, deeplearning, neural-networks, ebook, academic, neural-network, book, pdf, java, learning, tutorial
Creator
janishar
Size
57.1 MB
Stars
14.3K
Updated
CommitFeb 03Release3.0.0Apr 19
Age
9y
Commits · 90 Days