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Math for Deep Learning

Language EnglishEnglish
Book Paperback
Book Math for Deep Learning Ronald T. Kneusel
Libristo code: 36537261
Publishers Random House Publishing, December 2021
Math for Deep Learning provides the essential math you need to understand deep learning discussions,... Full description
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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. 

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About the book

Full name Math for Deep Learning
Language English
Binding Book - Paperback
Date of issue 2021
Number of pages 344
EAN 9781718501904
ISBN 1718501900
Libristo code 36537261
Weight 636
Dimensions 177 x 232 x 24
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