Learners may disappoint by "learning the wrong lesson". A toy illustration is usually that a picture classifier trained only on pics of brown horses and black cats may well conclude that every one brown patches are very likely to be horses.[137] An actual-globe example is that, contrary to individuals, recent impression classifiers frequently don't