Fully-fusible convolutional neural networks for end-to-end fused architecture with FPGA implementation
author
statement of authorship
Iman Dadras, Sakineh Seydi, Mohammad Hasan Ahmadilivani, Jaan Raik, Mostafa E. Salehi
source
2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
location of publication
Piscataway, New Jersey
publisher
year of publication
pages
5 p.
conference name, date
30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023, 4-7 December 2023
conference location
Istanbul, Türkiye
ISBN
9798350326499
notes
Bibliogr.: 13 ref
scientific publication
teaduspublikatsioon
TalTech department
language
inglise
subject term
keyword
layer fusion
memory bottleneck
classifier
Dadras, I., Seydi, S., Ahmadilivani, M.A., Raik, J., Salehi, M.E. Fully-fusible convolutional neural networks for end-to-end fused architecture with FPGA implementation // 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS). Piscataway, New Jersey : IEEE, 2023. 5 p.. https://doi.org/10.1109/ICECS58634.2023.10382831