Week 6 journal

My (team's) last week goal:

- Use confusion matrix and graph to find best model on Colab.

- Extract parameter form the layer.

My work toward goal:

- For the model I trained last, there was high validation loss. To fix this problem, I removed noisy data, adjusted the class balance and added data to the class missed training data.

- Used confusion matrix to evaluate the performance of a classification model by comparing the predicted and actual labels of a set of test data.

- Extracted parameter form the layer to Google drive.

My (team's) next week goal:

- Using data augmentation techniques, such as rotating or flipping images to help the model to learn more generalizable patterns.

- Creating basic modules to form the same CNN model as my python on cubeIDE with H7 borad.