Learners may disappoint by "learning the incorrect lesson". A toy example is the fact that an image classifier experienced only on pics of brown horses and black cats may well conclude that all brown patches are more likely to be horses.[137] An actual-entire world instance is usually that, not like individuals, recent image classifiers generally d