Deep Learning Theory and Applications

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80,24 

5th International Conference, DeLTA 2024, Dijon, France, July 10-11,2024, Proceedings, Part I, Communications in Computer and Information Science 2171

ISBN: 3031666933
ISBN 13: 9783031666933
Herausgeber: Ana Fred/Allel Hadjali/Oleg Gusikhin et al
Verlag: Springer Verlag GmbH
Umfang: xxiii, 367 S., 15 s/w Illustr., 138 farbige Illustr., 367 p. 153 illus., 138 illus. in color.
Erscheinungsdatum: 21.08.2024
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 3892193 Kategorie:

Beschreibung

The two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024.  The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc. 

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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