Learners could also disappoint by "learning the wrong lesson". A toy instance is usually that a picture classifier educated only on shots of brown horses and black cats may conclude that all brown patches are prone to be horses.[137] An actual-globe illustration is the fact, compared with people, current graphic classifiers generally do not mostly