We’ve open sourced it on GitHub with the hope that it can make neural networks a little more accessible and easier to learn. You’re free to use it in any way that follows our Apache License.

What is a neural network? It’s a technique for building a computer program that learns from data, based very loosely on how brains work. Software “neurons” are connected together, allowing …

It's a fork of TensorFlow Playground with additional features. Deep learning research is famously empirical. But traditionally, getting good intuitions requires a cluster of servers with which to try …

Neural network playground Visualization of a simple neural network for educational purposes.

This playground allows you to experiment with neural networks visually. Build networks by dragging and dropping layer components, connecting them, and running simulations.

Experiment with neural networks in your browser. Tune layers, activations, learning rate, and visualize decision boundaries and loss curves live with TensorFlow.js.

Dive into the world of artificial intelligence with our interactive Neural Network Playground. This educational tool lets you build, configure, and train neural networks in real-time.

This interactive demonstration shows how a feedforward neural network learns to classify 2D data points through backpropagation. The network adjusts millions of parameters (weights and …

The NN playground is implemented on a tiny neural network library that meets the demands of this educational visualization. For training real-world applications in the browser, consider the …

Aug 25, 2025 · Practice building and training neural networks from scratch (configuring nodes, hidden layers, and activation functions) by completing these interactive exercises.