Approximation error of single hidden layer neural networks with fixed weights

Abstract

This paper provides an explicit formula for the approximation error of single hidden layer neural networks with two fixed weights.

0

Turn this paper into a lesson

ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…