Training
Learning Representations by Back-Propagating Errors
UC San Diego·October 9, 1986
David Rumelhart, Geoffrey Hinton, Ronald Williams
TL;DR
Popularizes backpropagation for training multi-layer neural networks, making deep learning possible in principle.
Why it matters
The algorithm that revived neural networks and still trains essentially all of them today.