Sigmoid activation implementation for neural networks hardware accelerators based on reconfigurable computing environments for low-power intelligent systems
The remarkable results of applying machine learning algorithms to complex tasks are well known. They open wide opportunities in natural language processing, image recognition, and predictive analysis. However, their use in low-power intelligent systems is restricted because of high computational com...
| Опубликовано в: : | Applied sciences Vol. 12, № 10. P. 5216 (1-16) |
|---|---|
| Главный автор: | |
| Другие авторы: | , |
| Формат: | Статья в журнале |
| Язык: | English |
| Предметы: | |
| Online-ссылка: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001001428 |