Weight and Gradient Centralization in Deep Neural Networks

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dc.contributor.author Fuhl, Wolfgang
dc.contributor.author Kasneci, Enkelejda
dc.date.accessioned 2021-11-04T11:33:03Z
dc.date.available 2021-11-04T11:33:03Z
dc.date.issued 2021
dc.identifier.isbn 978-3-030-86379-1
dc.identifier.isbn 978-3-030-86380-7
dc.identifier.uri http://hdl.handle.net/10900/120404
dc.language.iso en de_DE
dc.publisher Cham : Springer de_DE
dc.relation.ispartofseries Lecture Notes in Computer Science;
dc.relation.ispartofseries ;12894
dc.relation.uri https://doi.org/10.1007/978-3-030-86380-7_19 de_DE
dc.subject.ddc 004 de_DE
dc.title Weight and Gradient Centralization in Deep Neural Networks de_DE
dc.type Buch (einzelnes Kapitel) de_DE
dc.type Konferenzveröffentlichung de_DE
utue.personen.roh Fuhl, Wolfgang
utue.personen.roh Kasneci, Enkelejda
utue.publikation.buchdesbeitrags Farkaš, Igor, Masulli, Paolo, Otte, Sebastian, Wermter, Stefan (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2021 (30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part IV) de_DE


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