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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Updated 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

Cite As

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. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1

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

1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.