Code: 36537261

Math for Deep Learning

Name: Math for Deep Learning
Brand: Random House Publishing
SKU: 36537261
Price: 35.04 EUR
Availability: InStock
Author: Ronald T. Kneusel
ISBN: 9781718501904

by Ronald T. Kneusel

Language: English
Binding: Paperback
Number of pages: 344
Publisher: Random House Publishing, 2021
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Book synopsis

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.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.