ResNet10 Run Report

Summarized Findings

We introduced:

• EMA moving weight averages
• CutUp and MixUp, with an alpha of 0.1

Possible Improvements.

• we can add a fine tuning step where we reduce the augmentation complexity (no mixup/cutmix)

Notebook

Please see the companion notebook. It contains:

• Training Confusion Matrix
• Validation Confusion Matrix
• Training Classification Report
• Validation Classification Report
• Training GradCam
• Validation GradCam