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Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks

; ;

In
21st IEEE International Conference on Machine Learning and Applications : ICMLA 2022 : 12-14 December 2022, Nassau, the Bahamas : proceedings / editors: M. Arif Wani, Mehmed Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit-Yan Chan ; publisher: IEEE, Seiten/Artikel-Nr: 1559-1566

Konferenz/Event:21. IEEE International Conference on Machine Learning and Applications , Nassau , Bahamas , ICMLA , 2022-12-12 - 2022-12-14

ImpressumPiscataway, NJ : IEEE

Umfang1559-1566

ISBN978-1-6654-6283-9, 978-1-66546-283-9, 978-1-66546-284-6

Online
DOI: 10.1109/ICMLA55696.2022.00243

URL: https://publications.rwth-aachen.de/record/955391/files/955391.pdf

Einrichtungen

  1. Lehrstuhl für Integrierte digitale Systeme und Schaltungsentwurf (611110)


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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85152213330
WOS Core Collection: WOS:000980994900233

Interne Identnummern
RWTH-2023-03444
Datensatz-ID: 955391

Beteiligte Länder
Germany

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Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Electrical Engineering and Information Technology (Fac.6)
Documents in print
Public records
611110
 Record created 2023-04-03, last modified 2025-12-09
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