Inside Deep Learning: Math, Algorithms, Models
Raff, Edward
ISBN 10: 1617298638 ISBN 13: 9781617298639
Published by Manning, 2022
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Soft cover
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About this Item
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This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Seller Inventory # ABTA-315165
Synopsis:
Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems.
In Inside Deep Learning, you will learn how to:
Implement deep learning with PyTorch
Select the right deep learning components
Train and evaluate a deep learning model
Fine tune deep learning models to maximize performance
Understand deep learning terminology
Adapt existing PyTorch code to solve new problems
Inside Deep Learning is an accessible...
About the Author: Edward Raff is a Chief Scientist at Booz Allen Hamilton, and the author of the JSAT machine learning library. His research includes deep learning, malware detection, reproducibility in ML, fairness/bias, and high performance computing. He is also a visiting professor at the University of Maryland, Baltimore County and teaches deep learning in the Data Science department. Dr Raff has over 40 peer reviewed publications, three best paper awards, and has presented at numerous major conferences.
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Bibliographic Details
Title: Inside Deep Learning: Math, Algorithms, ...
Publisher: Manning
Publication Date: 2022
Binding: Soft cover
Condition: New
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