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Artificial neural networks and machi...

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Artificial neural networks and machine learning - ICANN 202130th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021 : proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial neural networks and machine learning - ICANN 2021edited by Igor Farkas ... [et al.].
Reminder of title:	30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021 : proceedings.
remainder title:	ICANN 2021
other author:	Farkas, Igor.
corporate name:
Published:	Cham :Springer International Publishing :2021.
Description:	xxiii, 651 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science)
Online resource:	https://doi.org/10.1007/978-3-030-86340-1
ISBN:	9783030863401$q(electronic bk.)

Artificial neural networks and machine learning - ICANN 202130th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021 : proceedings.Part II /
Artificial neural networks and machine learning - ICANN 202130th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021 : proceedings.Part II /[electronic resource] :ICANN 2021edited by Igor Farkas ... [et al.]. - Cham :Springer International Publishing :2021. - xxiii, 651 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,128920302-9743 ;. - Lecture notes in computer science ;4891..

The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as computer vision and object detection, convolutional neural networks and kernel methods, deep learning and optimization, distributed and continual learning, explainable methods, few-shot learning and generative adversarial networks. *The conference was held online 2021 due to the COVID-19 pandemic.

ISBN: 9783030863401$q(electronic bk.)

Standard No.: 10.1007/978-3-030-86340-1doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Artificial neural networks and machine learning - ICANN 202130th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021 : proceedings.Part II /
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