Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices

Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices

Podrobná bibliografie
Hlavní autoři: Nascimento, Alexandre, Melo, Vinicius, Basgalupp, Marcio
Další autoři: Massachusetts Institute of Technology. Media Laboratory
Médium: Článek
Jazyk:English
Vydáno: ACM|The 38th ACM/SIGAPP Symposium on Applied Computing 2023
On-line přístup:https://hdl.handle.net/1721.1/150998

Internet

https://hdl.handle.net/1721.1/150998

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