vision-project
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Training
python train_emotion_classifier.py
Testing
python run_classifier.py test.jpg
Things to try:
Look at the data!
- How is it distributed? How well would a random model do?
- Can the model learn on a tiny subset of the data?
Better models
- Better architecture
Data cleanup
- Normalize
Data generation
- https://keras.io/preprocessing/image/
Reduce learning rate on plateau
- https://keras.io/callbacks/#reducelronplateau