Name
Abstract | ||
|---|---|---|
Neural network zoos are quite common in the literature and are particularly useful for demonstrating the potential of any deep learning framework by providing examples of its use to the Artificial Intelligence community. Unfortunately most of them uses FP32 (32bits floating point) or INT8 (8bits integer) precision for activation and weights. Communities such as TinyML are paying more and more atte... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/RTSI50628.2021.9597341 | 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI) |
Keywords | DocType | ISBN |
Training,Industries,Deep learning,Quantization (signal),Power demand,Neural networks,Imaging | Conference | 978-1-6654-4135-3 |
Citations | PageRank | References |
1 | 0.40 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Loro | 1 | 1 | 0.40 |
| Danilo Pau | 2 | 20 | 9.74 |
| Valeria Tomaselli | 3 | 5 | 1.84 |