Hardware Platform-Aware Binarized Neural Network Model Optimization

Deep Neural Networks (DNNs) have shown superior accuracy at the expense of high memory and computation requirements. Optimizing DNN models regarding energy and hardware resource requirements is extremely important for applications with resource-constrained embedded environments. Although using binar...

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Detalles Bibliográficos

Principais autores:	Quang Hieu Vo, Faaiz Asim, Batyrbek Alimkhanuly, Seunghyun Lee, Lokwon Kim
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-01-01
Series:	Applied Sciences
Assuntos:	Binarized Neural Networks FLOPs hardware cost estimation MAC operations
Acceso en liña:	https://www.mdpi.com/2076-3417/12/3/1296
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