Learners also can disappoint by "learning the wrong lesson". A toy case in point is usually that an image classifier properly trained only on pics of brown horses and black cats could conclude that all brown patches are more likely to be horses.[137] A true-world illustration is always that, as opposed to human beings, recent impression classifiers