Learners might also disappoint by "learning the incorrect lesson". A toy case in point is that an image classifier trained only on photos of brown horses and black cats may well conclude that each one brown patches are prone to be horses.[132] A real-globe example is the fact that, not https://britedirectory.com/listings13107316/examine-this-report-on-machine-learning