Do I need to install anything?

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

For Students · A* Pathfinding

A* Pathfinding for a convolutional net

Built for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition. Simulate a convolutional net live below — adjust the inputs and watch it respond, right in your browser.

Pathfinding (A* / Dijkstra)Live

grid search · draw walls

Controls

Drag on the grid to draw walls. A* uses a distance heuristic to head straight for the goal; Dijkstra explores blindly in all directions. Blue = start, pink = goal, green = shortest path.

▶ Run in Python

Data Inspector

AlgorithmA*

Grid48×30

HeuristicManhattan

Governing equation

f (n) = g (n) + h (n), h (n) = ∣Δ x ∣ + ∣Δ y ∣

Reading this result: A* adds the Manhattan-distance heuristic to Dijkstra, so it aims straight at the goal and expands far fewer cells while still returning a shortest path.

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Frequently asked questions

Is this good for students?: Yes — this version of "A* Pathfinding for a convolutional net" is framed for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.