A vibe-coded web demo — play it in your browser, no install. MNIST demystifier web app. An interactive web application for exploring and understanding neural networks through the MNIST dataset. Train a neural network in your browser and watch it learn to recognize handwritten digits in real-time. Browse through the MNIST training dataset in single or grid…
Vote and save it — free account with email or sign in with GitHub
Made this, @malminhas? See how many people played it → or use email
📅 Three new games every day, no account needed · Play today’s three →
Controls: Draw digits using mouse or touch input
GitHub may ask you to sign in, then to let VibeCruiser “Verify your GitHub identity” and “Act on your behalf”. We only read your profile and email, and never post anything.
No account needed to save ♥ or react 🔥: they’re under the game. Or vote with email.
Open the live demo Source on GitHubAn interactive web application for exploring and understanding neural networks through the MNIST dataset. Train a neural network in your browser and watch it learn to recognize handwritten digits in real-time.
Browse through the MNIST training dataset in single or grid view. Examine individual digits with adjustable size. View 100 digits at once in a 10x10 grid layout.
Train a 3-layer neural network directly in your browser. Customize training parameters (epochs, learning rate, batch size, hidden nodes). Real-time training progress and accuracy visualization.
Built something like this? Submit your vibe — free account, takes a minute. How listing works.
Claim it: create a free account, then press CLAIM THIS in the cruiser. Put the badge below in your README or on your demo page first; that link is how we know it's yours.
Your project is on the cruise, loaded live from your own site. Put the badge in your README or on the demo page: it shows your live play count, it links back to this page, and everyone who lands here is one click from running the real thing.