doesn't seem very similar to its input like there's a drastic change there the difference then that would be considered as an outlier hence it would be anomalous so you would see these red images these red dots that's an outlier and lastly we get a view of feature extraction so auto-encoders give you a view of which features in your dataset are useful or not so to take you through some of the different architectures that are out there of auto-encoders a very popular one is the restricted Boltzmann machine and this is actually produced