A low functional redundancy-based network slimming method for accelerating deep neural networks
Deep neural networks (DNNs) have been widely criticized for their large parameters and computation demands, hindering deployment to edge and embedded devices. In order to reduce the floating point operations (FLOPs) running DNNs and accelerate the inference speed, we start from the model pruning, an...
-д хадгалсан:
| Үндсэн зохиолчид: | , |
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| Формат: | Artigo |
| Хэл сонгох: | Inglês |
| Хэвлэсэн: |
Elsevier
2025-04-01
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| Цуврал: | Alexandria Engineering Journal |
| Нөхцлүүд: | |
| Онлайн хандалт: | http://www.sciencedirect.com/science/article/pii/S1110016824017162 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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