Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Examples for fundamentals of neural networks #28

Open
mxochicale opened this issue Nov 19, 2022 · 0 comments
Open

Examples for fundamentals of neural networks #28

mxochicale opened this issue Nov 19, 2022 · 0 comments

Comments

@mxochicale
Copy link
Member

Using Arduino AVR board with Neurona library to calssify RGB colours!

A simple RGB color classifier implementation for Arduino AVR boards and other compatible microcontrollers. This repository makes use of the Neurona library for Arduino, which enables the use of a Multilayer Perceptron (MLP) / Feed-forward Neural Network, a Machine Learning algorithm that can be run on Arduino boards. This library comes with the MLP topology workbench, which is used to train the model, and the Neurona library, which is used to convert the model into simple C++ code. Thanks to Caio Benatti Moretti's brilliant work.

VIDEO: https://www.youtube.com/watch?v=MxXGnBHJJXo
CODE: https://github.com/TronixLab/Easy-ArduinoNeuralNetwork
DOCS: http://www.moretticb.com/Neurona/
BLOG: http://www.moretticb.com/blog/color-sensor-prototype-using-neural-networks/
MLP Topology Workbench: http://www.moretticb.com/blog/mlp-topology-workbench-a-playground-for-multilayer-perceptrons/ https://github.com/moretticb/MTW

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant