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Math for Deep Learning
book

Math for Deep Learning

by Ronald T. Kneusel
October 2021
Intermediate to advanced
344 pages
8h 51m
English
No Starch Press
Content preview from Math for Deep Learning

GOING FURTHER

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The goal of this book was to discuss the core mathematics behind deep learning, the sort of math needed to follow what deep learning is and how it operates. We’ve done just that in the previous 11 chapters.

In this appendix, my goal is to point you toward more. Out of necessity, we only waded in the tide pools, which are fascinating enough, but in the depths, you’ll find still more beauty and elegance. What follows are pointers to help you get more out of the topics we covered.

Probability and Statistics

There are hundreds, if not thousands, of books on probability and statistics. The list here is, naturally, incomplete and not comprehensive, ...

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Publisher Resources

ISBN: 9781098129101