TIMESTAMPS:
00:00 Intro
01:30 VAE as a Generator
03:30 What is a GAN?
08:45 GAN Networks
11:45 Training procedure
15:15 Issues with GANs
23:10 Training Loop
25:45 Results
28:10 Wasserstein GAN

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The corresponding code is available here! (Section 9)
https://github.com/LukeDitria/pytorch_tutorials