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1 papers

1986Nature, Vol. 323, pp. 533-536 — https://doi.org/10.1038/323533a0

Learning representations by back-propagating errors

Ronald J. Williams, Geoffrey E. Hinton, David E. Rumelhart

Finding: Hidden units learn to represent important task features on their own (e.g. 'person', 'generation', 'nationality' in a family-tree problem) — deep networks learn abstract representations, not just memorize.

backpropagation neural-networks