Learners might also disappoint by "learning the incorrect lesson". A toy illustration is usually that a picture classifier educated only on photos of brown horses and black cats may conclude that all brown patches are likely to be horses.[137] A real-globe example is, not like human beings, current picture classifiers generally usually do not mostl

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