Learning representations by back-propagating errors
At a glance
Showed how passing errors backward through neural networks helps them learn useful patterns.
In one paragraph
Showed how neural networks could learn useful internal patterns by passing prediction errors backward through their layers, adjusting connections to improve their answers.
