An image classifier that quantifies its uncertainty using Bayesian methods as described in Kendall and Gal (2017)
- Model is confused between two or more classes, i.e. the image is a digit but it's not clear which one.
- Can be fixed with more data.
- Data is out-of-domain or the data is noisy.
- Cannot be fixed with more data
$ python3 train.py epistemic
$ python3 vis.py epistemic
$ python3 train.py aleatoric
$ python3 vis.py aleatoric
$ python3 train.py combined
$ python3 vis.py combined