Math for Deep Learning

Ron Kneusel

43 ratings by Goodreads

Language: English

Published by No Starch Press,US, US, 2021

1718501900 / 9781718501904

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With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You'll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network. In addition you'll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta.

Seller Inventory # LU-9781718501904

Title
Math for Deep Learning
Author
Ron Kneusel
Publisher
No Starch Press,US, US
Publication year
2021
Condition
New
Binding
Paperback
Language
English
ISBN 10
1718501900
ISBN 13
9781718501904

Rarewaves USA

HEBRON, KY, U.S.A.

5-star seller

AbeBooks seller since June 10, 2025

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