Learners may also disappoint by "learning the incorrect lesson". A toy instance is the fact that an image classifier trained only on photographs of brown horses and black cats might conclude that every one brown patches are very likely to be horses.[137] A real-world example is the fact, compared with individuals, existing impression classifiers ge