Completed:
- Trained with 10,000 images from AffectNet
- Accuracy still around 70%
- Lowest around 30%
- Highest at 77%
- Confusion matrix shows highest accuracy for happy, then anger, then sadness, surprise, fear, then contempt and disgust are not detected
- Downloaded 7 out of 11 parts of AffectNet so far
To-do:
- Start batch training so that my computer memory isn’t taken over
- Take equal amounts of each emotion so that gradient descent won’t be skewed towards happiness
- Make video/preparation for demo in class
- Take metrics for demo
- Cross-validation
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