DEEP LEARNING

An MIT Press book in preparation


Yoshua Bengio, Ian Goodfellow and Aaron Courville


Citing the book in preparation

If you want to cite this book in preparation, please use the following bibtex entry: 
@unpublished{Bengio-et-al-2015-Book,
    title={Deep Learning},
    author={Yoshua Bengio and Ian J. Goodfellow and Aaron Courville},
    note={Book in preparation for MIT Press},
    url={http://www.iro.umontreal.ca/~bengioy/dlbook},
    year={2015}
}

Draft chapters available for feedback - Version 30/03/2015


A NEW VERSION SHOULD BE POSTED BY 19/05/2015

Please help us make this a great book! This draft is still full of typos and can be improved in many ways. Your suggestions are more than welcome. PLEASE SPECIFY WHICH VERSION (by date) YOU ARE COMMENTING ON. Do not hesitate to contact any of the authors directly by e-mail or Google+ messages: Yoshua, Ian, Aaron.
NOTE: SEVERAL PEOPLE HAVE REPORTED THAT PRINTING WORKS BETTER FROM THE CHROME BROWSER.
Warning: the conversion from pdf to html is not perfect, as can be seen in some math, like subscripts. Sorry.
Note: the book structure has been re-organized into three parts
  • Applied math and machine learning basics (can be skipped by people with appropriate background)
  • Modern practical deep networks (used in industry currently, mostly supervised learning)
  • Deep learning research (looking forward, mostly unsupervised learning) and some chapters have moved around or been split accordingly.