Items related to Inside Deep Learning: Math, Algorithms, Models
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...
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...
From the Back Cover
Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. Inside Deep Learning is a fast-paced beginner's guide to solving common technical problems with deep learning.
Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory in Inside Deep Learning. You'll learn how deep learning works through plain language, annotated code, and equations as..."About this title" may belong to another edition of this title.
- PublisherManning
- Publication date2022
- ISBN 10 1617298638
- ISBN 13 9781617298639
- BindingPaperback
- LanguageEnglish
- Number of pages600
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