Fashion-Classification

MATLAB Fashion Classification with Deep Learning.
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Actualizado 26 May 2020

# 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.
![image](https://raw.githubusercontent.com/taliegemen/Fashion-Classification/master/GUIPicture.png)

Citar como

Ali Egemen Tasoren (2024). Fashion-Classification (https://github.com/taliegemen/Fashion-Classification/releases/tag/1.0), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020a
Compatible con cualquier versión desde R2020a
Compatibilidad con las plataformas
Windows macOS Linux
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Versión Publicado Notas de la versión
1.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.