Description: Further DetailsTitle: Math for Deep LearningCondition: NewSubtitle: What You Need to Know to Understand Neural NetworksISBN-10: 1718501900EAN: 9781718501904ISBN: 9781718501904Publisher: No Starch Press,USFormat: PaperbackRelease Date: 12/07/2021Description: 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.Language: EnglishCountry/Region of Manufacture: USItem Height: 235mmItem Length: 178mmAuthor: Ron KneuselGenre: Computing & InternetRelease Year: 2021 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Math for Deep Learning
Title: Math for Deep Learning
Subtitle: What You Need to Know to Understand Neural Networks
ISBN-10: 1718501900
EAN: 9781718501904
ISBN: 9781718501904
Release Date: 12/07/2021
Release Year: 2021
Country/Region of Manufacture: US
Genre: Computing & Internet
Number of Pages: 344 Pages
Language: English
Publication Name: Math for Deep Learning : What You Need to Know to Understand Neural Networks
Publisher: No Starch Press, Incorporated
Subject: Neural Networks, General, Calculus
Publication Year: 2021
Item Height: 0.9 in
Type: Textbook
Item Weight: 23.2 Oz
Item Length: 9.1 in
Author: Ronald T. Kneusel
Subject Area: Mathematics, Computers, Science
Item Width: 7 in
Format: Trade Paperback
