Complete Assignment 1

[AyeshaAzizProva]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

Completed Assignment 1 by implementing the required baseline model, CNN model, controlled hyperparameter experiments, and final model evaluation. Also included the completed Lab 1, Lab 2, and Lab 3 notebooks as required.

What did you learn from the changes you have made?

I learned how convolutional neural networks improve image classification by preserving spatial information, how controlled experiments help evaluate the impact of individual hyperparameters, and how dropout can improve model generalization.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

I considered experimenting with additional hyperparameter values such as more epochs and different dropout rates, but I focused on the approaches required by the assignment.

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

The main challenge was organizing multiple experiments while ensuring each reflection matched the final results. I resolved this by using separate variables for each experiment and verifying the notebook outputs before submission.

How were these changes tested?

• Restarted the kernel and ran all cells in Assignment 1, Lab 1, Lab 2, and Lab 3.
• Verified that all notebooks executed successfully without errors and produced the expected outputs and evaluation metrics.

A reference to a related issue in your repository (if applicable)

[N/A]

Checklist

• I can confirm that my changes are working as intended

[github-actions]

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