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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.

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