UofT-DSI | Deep Learning - Assignment 1

[alanmj950]

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

Added a CNN model and ran controlled experiments on hyperparameters and dropout.

What did you learn from the changes you have made?

I learned that convolutional layers significantly improve image classification performance over a simple linear model.

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

it?
I considered testing different optimizers and learning rates to further improve accuracy.

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

I struggled with overfitting in deeper models and mitigated it using dropout layers.

How were these changes tested?

By evaluating each model’s accuracy and loss on the test set after training.

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]

Hello, thank you for your contribution. If you are a participant, please close this pull request and open it in your own forked repository instead of here. Please read the instructions on your onboarding Assignment Submission Guide more carefully. If you are not a participant, please give us up to 72 hours to review your PR. Alternatively, you can reach out to us directly to expedite the review process.