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pro vyhledávání: '"Barba Flores, Luis Felipe"'
Deep neural networks often have millions of parameters. This can hinder their deployment to low-end devices, not only due to high memory requirements but also because of increased latency at inference. We propose a novel model compression method that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::682ba4df0d0f068cebbe7701d527548f
Autor:
Barba Flores, Luis Felipe
Publikováno v:
Universidad Nacional Autónoma de México
UNAM
Repositorio de Tesis DGBSDI, Dirección General de Bibliotecas y Servicios Digitales de Información, UNAM
UNAM
Repositorio de Tesis DGBSDI, Dirección General de Bibliotecas y Servicios Digitales de Información, UNAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::becc458d6fe8363bad521fd127d9c8aa
https://ru.dgb.unam.mx/handle/DGB_UNAM/TES01000674404
https://ru.dgb.unam.mx/handle/DGB_UNAM/TES01000674404