Learners might also disappoint by "learning the incorrect lesson". A toy example is that an image classifier educated only on images of brown horses and black cats may conclude that all brown patches are more likely to be horses.[137] An actual-environment case in point is always that, as opposed to people, existing image classifiers typically don'