Neural Networks: The Universality Theorem

Visual Proof of Universal Approximation Theorem for Neural Networks
529 download
Aggiornato 18 lug 2018

Visualizza la licenza

This live script explores the Universal Approximation Theorem which states that a single layer of "artificial neurons" can be used to approximate any function, with an arbitrarily small approximation error. This project presents an intuitive proof of the theorem by means of visual aids. The project allows the user to vary the different network parameters to approximate an arbitrary function f(x). Submitted as part of the MATLAB Online Live Editor Challenge 2018.

Cita come

Mayank Jhamtani (2024). Neural Networks: The Universality Theorem (, MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2018a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Scopri di più su Develop Apps Using App Designer in Help Center e MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release