Conceptio › Archive › NYU Faculty Digital Archive
NYU Faculty Digital Archive metadata only

MULTILAYER FEEDFORWARD NETWORKS WITH A NON-POLYNOMIAL ACTIVATION FUNCTION CAN APPROXIMATE ANY FUNCTION

Leshno, Moshe et al.
NYU Faculty Digital Archive · Papers
Open Source ↗
Several researchers characterized the activation function under which multilayer feedforward networks can act as universal approximators. We show that most of all the characterizations that were reported thus far in the literature are special cases of the following general result: a standard mult
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 933426
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive