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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks

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Math For Deep Learning - What You Need to Know to Understand Neural Networks (Paperback) Loot Price: R913

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Repayment Terms: R86 pm x 12*

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Math For Deep Learning - What You Need to Know to Understand Neural Networks (Paperback): Ron Kneusel

Math For Deep Learning - What You Need to Know to Understand Neural Networks (Paperback)

Ron Kneusel

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Was ~~R1,126~~ Loot Price R913 Discovery Miles 9 130 | Repayment Terms: R86 pm x 12* You Save R213 (19%)

Expected to ship within 12 - 19 working days

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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.

General

Imprint:	No Starch Press,Us
Country of origin:	United States
Release date:	December 2021
Authors:	Ron Kneusel
Dimensions:	235 x 178 x 20mm (L x W x T)
Format:	Paperback
Pages:	344
ISBN-13:	978-1-71850-190-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	1-71850-190-0
Barcode:	9781718501904