Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN.
- DOI
- 10.1155/2022/3098604
- Published
- 2022
- Container
- Computational intelligence and neuroscience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1155/2022/3098604,
title = {Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN.},
author = {Kandhro IA and Uddin M and Hussain S and Chaudhery TJ and Shorfuzzaman M and Meshref H and Albalhaq M and Alsaqour R and Khalaf OI},
year = {2022},
journal = {Computational intelligence and neuroscience},
doi = {10.1155/2022/3098604},
url = {https://doi.org/10.1155/2022/3098604}
}RIS
TY - JOUR TI - Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN. AU - Kandhro IA AU - Uddin M AU - Hussain S AU - Chaudhery TJ AU - Shorfuzzaman M AU - Meshref H AU - Albalhaq M AU - Alsaqour R AU - Khalaf OI PY - 2022 JO - Computational intelligence and neuroscience DO - 10.1155/2022/3098604 UR - https://doi.org/10.1155/2022/3098604 ER -
APA
IA, K., M, U., S, H., TJ, C., M, S., H, M., M, A., R, A., & OI, K. (2022). Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/3098604
Source records
- pubmed · retrieved 2026-09-25T01:55:43.667Z