Completed: Assignment-1 and Lab 1, 2, 3

[VincentSchaik]

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

• Implemented and evaluating a vision model using Keras on the Fashion MNIST dataset.
• Evaluated a simple baseline linear model and evaluatied against a simple CNN model.
• Included Lab 1, 2, 3.

What did you learn from the changes you have made?

• Training and evaluating the models with the best performing configurations.

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

• Included in the reflections section at each stage.

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

• Occasional crashing due to intensive operations.

How were these changes tested?

• Conducted controlled experiments on a hyperparameter (number of filters) and a regularization technique (Dropout)
• Generated plots and charts to visualize results.

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

N/A

Checklist

• I can confirm that my changes are working as intended

[VincentSchaik]

Completed: Assignment-1, Lab 1, 2, 3.

[DwardEE]

Great work!

Remember, adding an activation function to your linear regression baseline model turns it into a logistic regression, not a linear one. Try removing the activation function in your model's output dense layer and rewrite the reflections.

[VincentSchaik]

Removed activation function to base model. Updated reflection.