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TensorFlow Playground

An interactive browser-based visualization tool for experimenting with how neural networks learn.

TensorFlow Playground is interactive content that lets you train a small neural network in the browser and experiment with datasets, features, hidden layers, neuron counts, activation functions, regularization, and learning rates.

As training progresses, you can observe how the decision boundary and the representations learned by each neuron change. It is a useful tool for building intuition about neural network learning, overfitting, feature engineering, and model capacity.

Licensed under CC BY-NC-SA 4.0
Last updated on Jun 15, 2026 10:20 +0900