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Implementation of a Variational Autoencoder to draw MNIST dataset characters using Tensorflow.

License: MIT License

Python 100.00%
auto-encoder vae variational-auto-encoder image-classification object-classification mnist tensorflow python3 image-recognition handwritten-digits

mnist-drawer-vae's Introduction

MNIST-Drawer-VAE


Implementation of a Variational Autoencoder to draw MNIST dataset characters using Tensorflow. This article from the TowardsDataScience community helped me to understand and build this awesome digit drawer.

Contribution

This digit drawer works out, but it still lacks the expected accuracy for reconstructing the learned digits. Various optimization techniques will be added soon.

  • Please create a PR to improve this work.

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