Items related to Mathematical Aspects of Deep Learning

Mathematical Aspects of Deep Learning - Hardcover

 
9781316516782: Mathematical Aspects of Deep Learning
Hardcover
ISBN 10: 1316516784 ISBN 13: 9781316516782
Publisher: Cambridge University Press, 2023

Synopsis

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. 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. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research.

"synopsis" may belong to another edition of this title.

About the Authors

Philipp Grohs is Professor of Applied Mathematics at the University of Vienna and Group Leader of Mathematical Data Science at the Austrian Academy of Sciences.

Gitta Kutyniok is Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at Ludwig-Maximilians Universität München and Adjunct Professor for Machine Learning at the University of Tromsø.

"About this title" may belong to another edition of this title.

Publisher
Cambridge University Press
Publication date
2023
Language
English
ISBN 10 
1316516784
ISBN 13 
9781316516782
Binding
Hardcover
Number of pages
492
Editor
Grohs Philipp, Kutyniok Gitta