Name: Mathematical Aspects of Deep Learning
SKU: 54174198
Price: 2071.00 ZAR
Availability: InStock
Author: Grohs, Philipp ; Kutyniok, Gitta
ISBN: 9781316516782

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portada Mathematical Aspects of Deep Learning

Type

Physical Book

Illustrated by

Gitta Kutyniok

Philipp Grohs

Publisher

Cambridge University Press

Author

Grohs, Philipp ; Kutyniok, Gitta

Year

2022

Language

English

Pages

485

Format

Hardcover

Dimensions

23.8x16x1 cm

Weight

1.07 kg.

ISBN13

9781316516782

Synopsis "Mathematical Aspects of Deep Learning"

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.

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Mathematical Aspects of Deep Learning - Grohs, Philipp ; Kutyniok, Gitta

Synopsis "Mathematical Aspects of Deep Learning"

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