The Fact About AI-driven applications That No One Is Suggesting
Learners could also disappoint by "learning the wrong lesson". A toy example is that a picture classifier properly trained only on pictures of brown horses and black cats could conclude that each one brown patches are more likely to be horses.[137] An actual-planet case in point is that, in contrast to human beings, recent graphic classifiers typic