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.
Mayank Jhamtani (2022). Neural Networks: The Universality Theorem (https://www.mathworks.com/matlabcentral/fileexchange/68243-neural-networks-the-universality-theorem), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!