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Author: Piotr Bialecki

README.md

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-# gan-intro-pytorch
+# Introduction to Generative Adversarial Networks
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+This repo is based on [John Glover's blog post](http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow/) about approximting a 1-dimensional Gaussian distribution using Generative Adversarial networks (GAN).
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+He also released [TensorFlow code](https://github.com/AYLIEN/gan-intro) for his experiments.
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+I tried to reimplement his experiments using Pytorch.
+For this, I used some code from the [Pytorch DCGAN example](https://github.com/pytorch/examples/blob/master/dcgan/main.py).
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