Acceleration of Deep Neural Network Training Using Field Programmable Gate Arrays

Convolutional neural network (CNN) training often necessitates a considerable amount of computational resources. In recent years, several studies have proposed for CNN inference and training accelerators in which the FPGAs have previously demonstrated good performance and energy efficiency. To speed...

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Detalles Bibliográficos
Autores principales: Tufa, Guta Tesema, Andargie, Fitsum Assamnew, Bijalwan, Anchit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592200/
https://www.ncbi.nlm.nih.gov/pubmed/36299439
http://dx.doi.org/10.1155/2022/8387364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592200/
https://www.ncbi.nlm.nih.gov/pubmed/36299439
http://dx.doi.org/10.1155/2022/8387364

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