🚀 Final Project: Swin Transformer in Action
📍Clark University | Deep Learning & Vision
Explored Swin Transformer for image classification. Surprising result: âś… Test Accuracy > Train Accuracy a rare sign of strong generalization!
Tested on CIFAR10/100 with Swin-T/S + random augmentations. Great performance on unseen data!

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This is really impressive! Your model seems to be doing a fantastic job predicting new images based on its trained data. Just curious, did you build the transformer from scratch, or did you leverage a resource like Hugging Face?

Sure here is my GitHub portfolio @ Kenny755

Very interesting results!

Thank You!

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