https://github.com/samo135/interactive-mnist
Web app using an MNIST trained neural network to classify images of numbers drawn by the user. An interactive way to play around with a simple neural network.
https://github.com/samo135/interactive-mnist
css docker fastapi google-cloud-platform html mnist neural-network python pytorch rest-api
Last synced: about 1 year ago
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Web app using an MNIST trained neural network to classify images of numbers drawn by the user. An interactive way to play around with a simple neural network.
- Host: GitHub
- URL: https://github.com/samo135/interactive-mnist
- Owner: SamO135
- Created: 2024-08-28T15:31:25.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-04-20T15:58:28.000Z (about 1 year ago)
- Last Synced: 2025-05-18T12:09:44.468Z (about 1 year ago)
- Topics: css, docker, fastapi, google-cloud-platform, html, mnist, neural-network, python, pytorch, rest-api
- Language: TypeScript
- Homepage: https://interactive-mnist-128295820748.europe-west9.run.app/
- Size: 640 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# interactive-mnist
[Link to website](https://interactive-mnist-128295820748.europe-west9.run.app/)
Draw a number (0 - 9) in the box. When you click submit, the image will be passed through a simple convolutional neural network trained on the MNIST dataset which will try to accurately classify the number you have drawn. The model scored an accuracy of ~98% on the validation dataset. To the right of the box you will see what probabilities the model has assigned each number 0 - 9.