universal-approximation-theorem-no-architecture-spec

IN premise — entries/2026/06/21/wiki-Neural_network_28machine_learning29-chunk-5.md

Created 2026-06-21T09:55:51+00:00

The universal approximation theorem proves multilayer perceptrons can approximate any function, but does not specify how many neurons, what topology, or what weights are needed.