Learners could also disappoint by "learning the wrong lesson". A toy example is the fact a picture classifier properly trained only on images of brown horses and black cats could conclude that every one brown patches are very likely to be horses.[137] An actual-earth instance is the fact that, in contrast to humans, present-day graphic classifiers