Description: Math for Deep Learning by Ron Kneusel 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.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, youll learn the essential mathematics used by and as a background for deep learning.Youll 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. Youll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.In addition youll find coverage of gradient descent including variations commonly used by the deep learning community- SGD, Adam, RMSprop, and Adagrad/Adadelta. FORMAT Paperback LANGUAGE English CONDITION Brand New Author Biography Ronald T. Kneusel earned a PhD in machine learning from the University of Colorado, Boulder. He has over 20 years of machine learning industry experience. Kneusel is also the author of Numbers and Computers (2nd ed., Springer 2017), Random Numbers and Computers (Springer 2018), and Practical Deep Learning- A Python-Based Introduction (No Starch Press 2021). Table of Contents IntroductionChapter 1: Setting the StageChapter 2: ProbabilityChapter 3: More ProbabilityChapter 4: StatisticsChapter 5: Linear AlgebraChapter 6: More Linear AlgebraChapter 7: Differential CalculusChapter 8: Matrix CalculusChapter 9: Data Flow in Neural NetworksChapter 10: BackpropagationChapter 11: Gradient DescentAppendix: Going Further Review "An excellent resource for anyone looking to gain a solid foundation in the mathematics underlying deep learning algorithms. The book is accessible, well-organized, and provides clear explanations and practical examples of key mathematical concepts. I highly recommend it to anyone interested in this field."—Daniel Gutierrez, insideBIGDATA"Ronald T. Kneusel has written a handy and compact guide to the mathematics of deep learning. It will be a well-worn reference for equations and algorithms for the student, scientist, and practitioner of neural networks and machine learning. Complete with equations, figures and even sample code in Python, this book is a wonderful mathematical introduction for the reader."—David S. Mazel, Senior Engineer, Regulus-Group"What makes Math for Deep Learning a stand-out, is that it focuses on providing a sufficient mathematical foundation for deep learning, rather than attempting to cover all of deep learning, and introduce the needed math along the way. Those eager to master deep learning are sure to benefit from this foundation-before-house approach."—Ed Scott, Ph.D., Solutions Architect & IT Enthusiast Review Quote "What makes Math for Deep Learning a stand-out, is that it focuses on providing a sufficient mathematical foundation for deep learning, rather than attempting to cover all of deep learning, and introduce the needed math along the way. Those eager to master deep learning are sure to benefit from this foundation-before-house approach." -Ed Scott, Ph.D., Solutions Architect & IT Enthusiast Details ISBN1718501900 Short Title Math for Deep Learning Pages 344 Language English ISBN-10 1718501900 ISBN-13 9781718501904 Format Paperback Subtitle What You Need to Know to Understand Neural Networks Country of Publication United States Publisher No Starch Press,US Imprint No Starch Press,US Place of Publication San Francisco Year 2021 Publication Date 2021-12-07 AU Release Date 2021-12-07 NZ Release Date 2021-12-07 US Release Date 2021-12-07 UK Release Date 2021-12-07 Author Ron Kneusel DEWEY 006.310151 Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:141764008;
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ISBN-13: 9781718501904
Book Title: Math for Deep Learning
Item Height: 235 mm
Item Width: 178 mm
Author: Ron Kneusel
Publication Name: Math for Deep Learning: What You Need to Know to Understand Neural Networks
Format: Paperback
Language: English
Publisher: No Starch Press,Us
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Number of Pages: 344 Pages