Demo
Generate a grid of synthetic digits and explore how the output morphs.
- Use the blue “Number” control to choose Auto or a digit from 0–9.
- Click “Generate” to refresh the grid.
- Open “Extra settings” to adjust seed, dim, grid density, minimum grid height, and distortion level.
- Generate again to compare how settings change the outputs.
STAR Summary
- Situation
- I wanted to generate new handwritten digits, not just recognize them.
- Task
- Owned the end-to-end build, from implementation through the final deliverable.
- Action
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- Trained a Variational Autoencoder (VAE) on MNIST (60,000 training digits) with a 20-dim latent space for up to 100 epochs.
- Result
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- Generated new digits by sampling the learned latent space.
- Saved the trained model so generation is a quick inference step.
Links
Notes
Trained on MNIST; generated samples reflect that digit domain rather than real handwriting diversity.
