This project is a simple web application that uses a neural network to classify colors. The neural network is trained on a set of RGB color values mapped to color names. The neural network then uses this training to predict the name of a color given a new set of RGB values.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Node.js
cd neural-network-color-classifier
- Install the dependencies bash Copy code npm install
- Run the application bash Copy code npm start
After you've started the application, you can access it in your web browser at http://localhost:3000.
The application displays a bar chart that shows the neural network's predictions for a given color. The x-axis of the chart represents the different color names, and the y-axis represents the confidence of the neural network's prediction.
Express.js - The web framework used EJS - Templating language used to generate HTML Chart.js - Used to generate the charts Synaptic.js - The neural network library usedLicense This project is licensed under the MIT License - see the LICENSE.md file for details