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Seehttps://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f#.sch4xgsa9 for the relevant blog post.

Run the sample code by typing:

./gan_pytorch.py

...and you'll train two nets to battle it out on a shifted/scaled Gaussian distribution. The 'fake' distribution should match the 'real' one within a reasonable time.