bemoregt/Training_Resnet_Using_FrFTLossFunction
Fractional Fourier Transform Loss Function
Python1 stars0 forks
What it does
This repository presents an innovative approach to image classification by utilizing a Fractional Fourier Transform-based loss function to enhance the performance of ResNet-18. It aims to improve model generalization by penalizing classification errors across multiple frequency domains.
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Tracking
- Last trending
- 2026-02-21
Creator kit
Hook
Discover how a novel loss function can boost your image classification models with ResNet-18!
Content angles
- Create a tutorial on implementing FrFT Loss in image classification tasks.
- Conduct a comparative analysis of traditional loss functions versus FrFT Loss.
- Share insights on the impact of fractional frequency domains on model generalization.
Who should care
Data scientists and machine learning engineers focused on image classification and model optimization.