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Single-Layer and Multilayer Perceptrons Demo

version 1.0 (1.68 MB) by Mihaela Jarema
This demo introduces single-layer neural networks, multilayer perceptrons, and corresponding learning algorithms hands-on.

28 Downloads

Updated 08 Sep 2021

From GitHub

View license on GitHub

Single-Layer and Multilayer Perceptrons Demo

This MATLAB® demo introduces fundamental concepts of neural networks in an intuitive and hands-on manner, from single-layer neural networks and corresponding learning algorithms, to multilayer perceptrons. It is meant to be used in class or by those interested in an intuitive understanding of these theoretical concepts.

The demo consists of two files:

  • Perceptron.mlapp: an interactive MATLAB app illustrating the perceptron architecture, geometric interpretation, and learned algorithm for provided input parameters.
  • DeepLearningFundamentals.mlx: a MATLAB live script demoing the app in an intuitive, incremental manner.

MathWorks Products (http://www.mathworks.com)

Developed in MATLAB release R2020a, tested in release R2020a and newer.

Getting Started

Follow the workflow described in the live script for examples on using the Perceptron app to introduce fundamental concepts of neural networks.

License

The license for this demo is available in the license.txt file in this GitHub repository.

View Single-Layer and Multilayer Perceptrons Demo on File Exchange

Cite As

Mihaela Jarema (2021). Single-Layer and Multilayer Perceptrons Demo (https://github.com/MathWorks-Teaching-Resources/Single-Layer-Multilayer-Perceptrons-Demo/releases/tag/v1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with R2020a and later releases
Platform Compatibility
Windows macOS Linux
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.