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A Heterogeneous Hardware Accelerator for Image Classification in Embedded Systems
Convolutional neural networks (CNN) have been extensively employed for image classification due to their high accuracy. However, inference is a computationally-intensive process that often requires hardware acceleration to operate in real time. For mobile devices, the power consumption of graphics p...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069940/ https://www.ncbi.nlm.nih.gov/pubmed/33918668 http://dx.doi.org/10.3390/s21082637 |