# 1. Create database 
    - 6 scenes for train
    - 3 scenes for validation
    - Equilibrer noise / final classes

# 2. Test CNN (check if size is correct)

# 3. Results 
    - noise_classification_32_16_16_32.h5 : 81.15%
    - noise_classification_64_32_32_64.h5 : loss: 0.4416 - acc: 0.7993 - val_loss: 0.9338 - val_acc: 0.6943