dribnet / mnist_clock

deep learning VAE clock using concept vectors, april 2017

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MNIST clock

Digits rendered with a variational auto-encoder and 10 concept vectors in 8 dimensinoal latent space. The digit style changes as the concept vectos are applied to a drifting anchor point.

(note: neural net decoder weights are currently 6.5M so loading might take a few seconds before clock starts)

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deep learning VAE clock using concept vectors, april 2017


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