Resnet50 and other pre-trained models with cross-validation

Resnet50 and other pre-trained models with cross-validation Matlab code .all evaluation metrics are included
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Actualizado 14 Feb 2021

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

Citar como

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. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020a
Compatible con cualquier versión
Compatibilidad con las plataformas
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Versión Publicado Notas de la versión
1.1

See release notes for this release on GitHub: https://github.com/amrrashed/Resnet50-with-cross-validation/releases/tag/1.1

1.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.