Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For K-12 Students · Perceptron

Perceptron for a neural network

Built for k-12 students learning it in middle or high school. Watch the idea come alive with plain-language steps and everyday examples — perfect for projects and homework. Simulate a neural network live below — adjust the inputs and watch it respond, right in your browser.

PerceptronLive

the simplest learning machine

Controls

Presets

Class separation

Learning rate

The perceptron — the ancestor of every neural network — nudges a straight boundary each time it misclassifies a point. If the two classes are linearly separable it is guaranteed to find a dividing line; if they overlap, it never quite settles. Educational tool.

▶ Run in Python

Data Inspector

Modellinear classifier

Converges?yes (separable)

Governing equation

\overset{y}{^} = step (w \cdot x + b), w \leftarrow w + 0.10 (y - \overset{y}{^}) x

Reading this result: Moderate separation with a gentle learning rate: the boundary drifts steadily toward a clean split over many passes.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Frequently asked questions

Is this good for k-12 students?: Yes — this version of "Perceptron for a neural network" is framed for k-12 students learning it in middle or high school. Watch the idea come alive with plain-language steps and everyday examples — perfect for projects and homework.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.