Floating Point and Fixed Point 32-bits Quantizers for Quantization of Weights of Neural Networks

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Naziv:	Floating Point and Fixed Point 32-bits Quantizers for Quantization of Weights of Neural Networks
Autori:	Peric, Zoran ; Savic, Milan ; Dincic, Milan ; Vucic, Nikola ; Djosic, Danijel ; Milosavljevic, Srdjan
Godina:	2021
Publikacija:	2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
ISSN:	1843-8571 Pretraži identifikator
Izdavač:	{IEEE}
Tip rezultata:	Konferencijski rad
DOI:	10.1109/atee52255.2021.9425265
WoS-ID:	000676164800120
Scopus-ID:	2-s2.0-85106720063
URI:	https://enauka.gov.rs/handle/123456789/781667
Projekat:	Ministry of Education, Science and Technological Development, Serbia Science Fund of the Republic of Serbia [6527104] (AI-Com-in-AI)
Izvor metapodataka:	(Preuzeto iz ORCID-a) Djosic, Danijel
M-kategorija:	Mp kategorija će biti prikazana naknadno.

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