Mathematical Aspects of Deep Learning (Cambridge University Press)
Friday, 10 February 2023

In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. In this book, Philipp Grohs and Gitta Kutyniok present the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field.

<ASIN:1316516784>

The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics.

Author: Philipp Grohs and Gitta Kutyniok
Publisher: Cambridge University Press
Date: February 2023
Pages: 492
ISBN: 978-1316516782
Print:1316516784
Kindle:B0BMW15BV5
Audience: Developers interested in deep learning
Level: Intermediate/Advanced
Category: Mathematics and Artificial Intelligence

 

mathdeep

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Pro Database Migration to Azure

Author: Kevin Kline et al
Publisher: Apress
Pages: 352
ISBN: 978-1484282298
Print: 1484282299
Kindle: B0B924H21P
Audience: Managers & architects
Rating: 4
Reviewer: Ian Stirk

This book aims to give you a holistic approach to migrating on-premise databases to Azure, how does it fare?



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Author: Richard L. Sites
Publisher: Addison-Wesley
Pages: 464
ISBN: 978-0137589739
Print: 0137589735
Kindle: B09H5JB5HC
Audience: Every developers
Rating: 5
Reviewer: Kay Ewbank

This book looks at the different reasons why software runs too slowly, and what developers can do about it, starting by looki [ ... ]


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