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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2019-12-01
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| Rangatū: | Journal of Low Power Electronics and Applications |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2079-9268/10/1/1 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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