PPolySim OS
For Engineers · Deep Net Playground

Deep Net Playground for a confidence interval

Built for engineers using it for real design work. Go from concept to a running model in the browser, then scale to the cloud when needed. Simulate a confidence interval live below — adjust the inputs and watch it respond, right in your browser.

Neural Network PlaygroundLive

Controls

Presets

A tiny multilayer perceptron trained by real backpropagation. The background shows its learned decision boundary; dots are the training data, colored by true class.

▶ Run in Python

Data Inspector

Epoch0
Loss0.0000
Architecture2→8→1

Governing equation

Reading this result: With 8 hidden units the net bends the boundary into curves — more units capture finer shapes like the spiral, but too many can overfit.

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

2

Gradient Descent

open full solver →
Gradient Descent StudioLive

Controls

Watch gradient descent (with momentum) roll downhill on different loss landscapes. Too high a learning rate overshoots.

Presets

▶ Run in Python

Data Inspector

Surfaceripple
Step0/200
Optimizermomentum GD

Governing equation

Reading this result: A learning rate of 3 is well matched to the curvature here: steps are large enough to make progress yet small enough to avoid overshoot, giving a smooth, roughly quadratic descent toward the minimum.

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

or unlock everything with Pro →

More with Deep Net Playground

Frequently asked questions

Is this good for engineers?
Yes — this version of "Deep Net Playground for a confidence interval" is framed for engineers using it for real design work. Go from concept to a running model in the browser, then scale to the cloud when needed.
Do I need to install anything?
No. It runs in any modern browser, free, with no account required.