Energy-Efficient Architecture for CNNs Inference on Heterogeneous FPGA
Due to the huge requirements in terms of both computational and memory capabilities, implementing energy-efficient and high-performance Convolutional Neural Networks (CNNs) by exploiting embedded systems still represents a major challenge for hardware designers. This paper presents the complete desi...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2019-12-01
|
| Серии: | Journal of Low Power Electronics and Applications |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2079-9268/10/1/1 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|