Learners may disappoint by "learning the wrong lesson". A toy case in point is the fact an image classifier experienced only on photographs of brown horses and black cats may well conclude that each one brown patches are very likely to be horses.[137] An actual-entire world example is usually that, as opposed to humans, existing picture classifiers