Rocky playground

This app is one of Agile's geosci.ai experiments.

The app is currently deployed on AWS Amplify — check it out!.

About

Rocky Playground is an interactive visualization of neural networks, written in TypeScript using d3.js. It is a fork of the Google Neural Network Playground, and also incorporates code from David Cato's fork of the same project.

Some examples of what has changed:

• Real-world datasets related to geological tasks.
• New activation functions including ELU, Leaky ReLU, and Swish.
• Some new synthetic datasets: moons and linear (from matplotlib), and diagonal (to illustrate overfitting).
• You can change regularization on the fly.
• You can upload your own datasets.
• Some bug-fixes and cosmetic changes.

Contributing

Want to help? We'd love to have your involvement! If you'd like to contribute, take a look at the contribution guidelines.

Development

You will need to install Node for your system.

Then, to run the visualization locally, run:

• npm i to install dependencies
• npm run build to compile the app and place it in the dist/ directory
• npm run serve to serve from the dist/ directory and open a page on your browser.

For a fast edit-refresh cycle when developing run npm run serve-watch. This will start an http server and automatically re-compile the TypeScript, HTML and CSS files whenever they change.