#### Objective
Students are encouraged to explore a variety of techniques, including but not limited to, data preprocessing, data augmentation, test time augmentation (TTA) and hyperparameter finetuning. 
* The model (VGG-16) must not be changed. 
* Only notebooks run and submitted on Kaggle are considered for the 2nd evaluation criteria.  
#### Evaluation Criteria
The homework will be evaluated based on two primary components:

1. **Training experiments (10 points):** 
   - Students must experiment with at least 4 different configurations. (2.5 points each)

2. **Accuracy (10 points):** 
   - Students are graded based on their results.