Deep ensemble

Deep ensemble: A set of independently trained neural models whose predictions are aggregated to improve robustness and uncertainty. Member diversity is essential. It increases memory and computation and does not remove shared errors caused by the same data. This perspective connects the definition with practical behaviour in artificial intelligence systems.