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This repository was archived by the owner on Dec 23, 2025. It is now read-only.
This repository was archived by the owner on Dec 23, 2025. It is now read-only.

Model Training  #29

@shreeyanshi123

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@shreeyanshi123

1.Model-Training:
● Choose a suitable architecture (e.g., CNN, transfer learning with pre-trained models).
● Use appropriate loss functions and optimizers for multi-class classification.
2. Evaluation
● Generate predictions on the test dataset.
● Plot the ROC Curve for each class.

Add your notebook and add your saved model in solution_Task3 .

This is a competitive task and only the best model will get 50points others will get 20points.

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    Points: 50SkilledcompetitiveFor competitive issues, only top PRs need to be accepted.

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