Recommended by Boris Meinardus, this is a recommended book on the subject in pdf format. It is also available in printed format to buy – see this web page for details
Addendum – Answers to selected questions
Errat
Below are links to learning resources from the author of this book and video is from the first link of resources listed at the bottom of this page.
RECENT NEWS:
12/17/24
Video lectures for chapters 1-12 from Tamer Elsayed of Qatar University.
12/05/24
New blog on Neural network Gaussian processes
11/14/24
New blog on Bayesian Neural Networks
08/13/24
New blog on Bayesian machine learning (function perspective)
08/05/24
Added interactive figures to explore 1D linear regression, shallow and deep networks, Gabor model.
07/30/24
New blog on Bayesian machine learning (parameter perspective)
05/22/24
New blog about the applications of the neural tangent kernel.
05/10/24
Positive review in Nature Machine Intelligence.
02/21/24
New blog about the Neural Tangent Kernel.
01/29/24
New blog about gradient flow published.
12/26/23
Machine Learning Street Talk podcast discussing book.
12/19/23
Deeper Insights podcast discussing book.
12/06/23
Interview with Borealis AI.
12/05/23
Book released by The MIT Press.Show less
CITATION:
@book{prince2023understanding,
author = "Simon J.D. Prince",
title = "Understanding Deep Learning",
publisher = "The MIT Press",
year = 2023,
url = "http://udlbook.com"
}
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