MNIST Digit Recognition
The Burn project enables building Pytorch style Deep Learning models. The following example serves predictions from a trained MNIST model in real time. Source code available from the Burn project (here).
Draw a digit (0-9) and watch a neural network classify it in real-time
Draw here
Prediction
Draw a digit to see prediction
Confidence Scores
About this demo
This demo runs a convolutional neural network entirely in your browser using WebAssembly. The model was built with Burn, a Rust deep learning framework.
- Model: 2-layer CNN with ~260k parameters
- Accuracy: 95.83% on MNIST test set
- Inference: ~10ms on modern hardware
- No data leaves your browser
Model will load on first classification (2.9 MB)
Based on Burn MNIST Inference Web Example