
Neural Networks and Numerical Analysis
Bruno Després(Author)
De Gruyter (Publisher)
1st Edition
Published on 22. August 2022
Book
Hardback
XVI, 158 pages
978-3-11-078312-4 (ISBN)
Description
This book uses numerical analysis as the main tool to investigate methods in machine learning and neural networks. The efficiency of neural network representations for general functions and for polynomial functions is studied in detail, together with an original description of the Latin hypercube method and of the ADAM algorithm for training. Furthermore, unique features include the use of Tensorflow for implementation session, and the description of on going research about the construction of new optimized numerical schemes.
More details
Series
Language
English
Place of publication
Berlin/Boston
Germany
Target group
Professional and scholarly
US School Grade: College Graduate Student
Illustrations
18 s/w Abbildungen, 11 farbige Abbildungen
18 b/w and 11 col. ill.
Dimensions
Height: 24 cm
Width: 17 cm
Weight
434 gr
ISBN-13
978-3-11-078312-4 (9783110783124)
Schweitzer Classification
Other editions
Additional editions

Bruno Després
Neural Networks and Numerical Analysis
E-Book
08/2022
1st Edition
De Gruyter
€179.95
Available for download

Bruno Després
Neural Networks and Numerical Analysis
E-Book
08/2022
1st Edition
De Gruyter
€169.95
Available for download
Person
Bruno Després
, Sorbonne University, France.