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Generative Adversarial Networks - A Starter

In this repository a GAN is trained to create digits that resemble the MNIST dataset. The code is from the nice tutorial of Diego Gomez Mosquera, who published it on github and in a blog post.

Training for this project takes about 3 hours on a good laptop.

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How to create a GAN in pytorch

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