Resource-constrained FPGA/DNN co-design

Deep neural networks (DNNs) have demonstrated super performance in most learning tasks. However, a DNN typically contains a large number of parameters and operations, requiring a high-end processing platform for high-speed execution. To address this challenge, hardware-and-software co-design strateg...

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Detalles Bibliográficos
Autores principales: Zhang, Zhichao, Kouzani, Abbas Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122185/
https://www.ncbi.nlm.nih.gov/pubmed/34025038
http://dx.doi.org/10.1007/s00521-021-06113-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122185/
https://www.ncbi.nlm.nih.gov/pubmed/34025038
http://dx.doi.org/10.1007/s00521-021-06113-4

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