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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

5LINEAR ALGEBRA

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Formally, linear algebra is the study of linear equations, in which the highest power of the variable is one. However, for our purposes, linear algebra refers to multidimensional mathematical objects—like vectors and matrices—and operations on them. This is how linear algebra is typically applied in deep learning, and how data is manipulated in programs that implement deep learning algorithms. By making this distinction, we are throwing away a massive amount of fascinating mathematics, but as our goal is to understand the mathematics used and applied in deep learning, we can hopefully be forgiven.

In this chapter, I’ll introduce ...

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Publisher Resources

ISBN: 9781098129101