Research and Implementation of High Computational Power for Training and Inference of Convolutional Neural Networks

Algorithms and computing power have consistently been the two driving forces behind the development of artificial intelligence. The computational power of a platform has a significant impact on the implementation cost, performance, power consumption, and flexibility of an algorithm. Currently, AI al...

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Bibliografski detalji

Glavni autori:	Tianling Li, Bin He, Yangyang Zheng
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-01-01
Serija:	Applied Sciences
Teme:	training acceleration MPSoC FPGA convolutional neural network
Online pristup:	https://www.mdpi.com/2076-3417/13/2/1003
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