Learners may disappoint by "learning the incorrect lesson". A toy example is the fact that an image classifier experienced only on photos of brown horses and black cats could conclude that every one brown patches are very likely to be horses.[137] A real-entire world example is that, contrary to people, present graphic classifiers often usually do