Visual Machine Learning contains a set of Machine Learning and Deep Learning interactive visualisation demos for developing intuition. These demos are developed using TensorFlow.js and can be executed directly in your browser. This project is an extension of ML examples from tfjs-examples. We implement new demos, as well as, add additional features into the ones that already existed in TFJS.

Some examples may require web-gl enabled browsers and viewers may experience latency during executing the demos based on the device.

All the examples require the following dependencies to be installed.

• Node.js version 8.9 or higher
• NPM CLI OR Yarn

cd into the directory

If you are using yarn:

cd MNIST-CNN
yarn
yarn watch

If you are using npm:

cd MNIST-CNN
npm install
npm run watch

The convention is that each example contains two scripts:

• yarn watch or npm run watch: This starts and generates a local development HTML server tracking filesystem for changes, supporting hot-reloading.

• yarn build or npm run build: generates a dist/ folder which contains the build artifacts and can be used for deployment.

If you want to contribute a demo, please reach out to us on Github issues before sending us a pull request as we are trying to keep this set of examples small and highly curated.

• tfjs-examples