Name
Abstract | ||
|---|---|---|
The most active research area for Field Programmable Gate Arrays is the Convolution Neural Network (CNN), and the gist of any CNN is an activation function. Therefore, various non-linear activation functions are required for deeper CNN. In this paper, we aim to implement the Tanh Exponential (TanhExp) activation function on Artix-7 and Zynq-7000. To this end, we will use the piecewise linear appro... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SSD52085.2021.9429506 | 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD) |
Keywords | DocType | ISBN |
Convolution,Neural networks,Piecewise linear approximation,Linear approximation,Logic gates,Nonhomogeneous media,Hardware | Conference | 978-1-6654-1493-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Safa Bouguezzi | 1 | 2 | 1.38 |
| Hassene Faiedh | 2 | 0 | 0.68 |
| Chokri Souani | 3 | 0 | 0.68 |