Assignment 1

[monzchan]

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

Doing image classification. Load and explore the CIFAR-100 Dataset, build a baseline CNN model, compile the model, trains the model, and evaluate the model performance

What did you learn from the changes you have made?

Learned the skills of building CNN model such as Conv2D, MaxPooling2D, Flatten, Dense etc. And, how to improve the model performance.

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

Modifying the hyperparameters such as like optimizers, the number of layers

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

It takes a long time for model training. Utilize techniques like early stopping, where training halts when the model’s performance stops improving, or implement checkpointing to save progress and resume later.

How were these changes tested?

Visualizing and analyzing the result in the Workspace

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

Checklist

• [V ] I can confirm that my changes are working as intended

[github-actions]

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