MATLAB Fashion Classification with Deep Learning.
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# Fashion Classification
MATLAB Fashion Classification with Different Networks.
## To use:
1. Select a model from models folder.
2. Run the selected model.
3. Run main.m.
## If you want to use the models with your own data:
1. Change the fullyconnectedlayer sizes in your selected model with your class amount.
2. Run the model.
3. Change the data path in main.m, then run main.m
## Fashion Classifier with ShuffleNet can be found from Releases.

Cite As
Ali Egemen Tasoren (2026). Fashion-Classification (https://github.com/taliegemen/Fashion-Classification/releases/tag/1.0), GitHub. Retrieved .
General Information
- Version 1.0 (16.9 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with R2020a and later releases
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0 |
