Deep Learning Theory and Applications

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80,24 

5th International Conference, DeLTA 2024, Dijon, France, July 10-11,2024, Proceedings, Part II, Communications in Computer and Information Science 2172

ISBN: 3031667042
ISBN 13: 9783031667046
Herausgeber: Ana Fred/Allel Hadjali/Oleg Gusikhin et al
Verlag: Springer Verlag GmbH
Umfang: xvii, 389 S., 10 s/w Illustr., 115 farbige Illustr., 389 p. 125 illus., 115 illus. in color.
Erscheinungsdatum: 21.08.2024
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 3892093 Kategorie:

Beschreibung

The two-volume set CCIS 2171 and 2172 constitutes the refereed 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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