Learning Representations by Back-propagating Errors (Rumelhart, Hinton & Williams, 1986)
Weekly Paper Notes — the Seminal Paper of the Week for the 2026-11-07 digest. Area: AI / ML. Authors: David E. Rumelhart (UC San Diego), Geoffrey E. Hinton (Carnegie Mellon University), Ronald J. Williams (UC San Diego) Published: Nature 323, 533–536, 9 October 1986. DOI: 10.1038/323533a0 Why the paper still matters Every model in this week’s digest was trained by the procedure this letter describes: run the network forward, measure the error, push its derivative backward layer by layer, and nudge every weight downhill....