Resnet50 and other pre-trained models with cross-validation
Resnet50, densnet201, resnet18, vgg16, exception net, test network are pre-trained models with cross-validation Matlab code. all evaluation metrics are included
https://www.youtube.com/watch?v=bjBs4lBFqBU&list=PLAI6JViu7XmcKQpCISPLATV7jkuYRhMsB&index=19&t=2s
https://www.youtube.com/watch?v=tZn6f40Kjcw&list=PLAI6JViu7XmcKQpCISPLATV7jkuYRhMsB&index=20&t=0s
Citation pour cette source
Amr Ez Eldin Elsayed Rashed (2024). Resnet50 and other pre-trained models with cross-validation (https://github.com/amrrashed/Resnet50-with-cross-validation/releases/tag/1.1), GitHub. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxTags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
Version | Publié le | Notes de version | |
---|---|---|---|
1.1 | See release notes for this release on GitHub: https://github.com/amrrashed/Resnet50-with-cross-validation/releases/tag/1.1 |
||
1.0 |