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An interactive UI for MNIST using PyGame.

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An Interactive UI for MNIST

A demo can be found on youtube.

When getting started with machine learning, there are a lack of resources that actually make use of a visual element to aid in teaching. This model, written in python and using tensorflow, is used to power a user interface with PyGame.

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Important Notes

  • You may need to change the path of the data file after downloading.

    with sess as sess:
        saver.restore(sess, "YOUR_PATH/data/convolutional.ckpt")
        main()
  • Depending on your operating system, the font size may need to be adjusted.

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An interactive UI for MNIST using PyGame.

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