universal-approximation-width-vs-depth

OUT premise — entries/2026/06/21/wiki-Deep_learning-chunk-6.md

Created 2026-06-21T09:55:49+00:00

The universal approximation theorem (Cybenko 1989, Hornik 1991) shows a single hidden layer with sufficient width can approximate any continuous function, but depth provides exponentially more efficient representations.