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

Find more training data online?

Anything else?