playground
Play with neural networks!
A browser-based interactive tool for experimenting with neural networks visually in real time, letting you adjust layers and settings to see how AI learns without writing any code.
TensorFlow Playground is an interactive, browser-based tool that lets you experiment with neural networks visually. A neural network is a type of AI system loosely inspired by how the brain works: it takes in data, passes it through layers of connected nodes, and produces a result. This tool shows you what is happening inside that process in real time, without requiring any coding.
You can adjust settings like the number of layers, the number of nodes per layer, and what kind of data the network is trying to classify, then watch how the network learns and changes as it trains. It is aimed at people who want to build intuition about how these systems behave, such as students, beginners, or anyone curious about AI.
The project is a web application built with TypeScript and a charting library called d3.js. The readme is brief and focused on how to set up a local development environment: install dependencies with npm, build the app, and serve it locally. There is not much additional documentation about what the tool can do beyond what the live demo shows.
Where it fits
- Experiment with adding more hidden layers to a neural network and watch how it learns to separate data.
- Use as a teaching aid to show students how node counts and layer depth change a network's behavior.
- Run locally to customize the visualization for a course, presentation, or blog post.