Deep Learning - Unsupervised Learning Part 5

In this last video on unsupervised learning, we introduce some more advanced GAN concepts to avoid mode collapse and strong intra-batch correlation using virtual batch normalization, unrolled GANs, and minibatch discrimination.

For reminders to watch the new video follow on Twitter or LinkedIn.

Video References:
X-ray GAN
Anime GAN
PortraitGAN
BigGAN

Further Reading:
A gentle Introduction to Deep Learning

Links
Link - Variational Autoencoders:
Link - NIPS 2016 GAN Tutorial of Goodfellow
Link - How to train a GAN? Tips and tricks to make GANs work (careful, not
everything is true anymore!)
Link - Ever wondered about how to name your GAN?

References
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[17] Tim Salimans, Ian Goodfellow, Wojciech Zaremba, et al. “Improved Techniques for Training GANs”. In: Advances in Neural Information Processing Systems 29. Curran Associates, Inc., 2016, pp. 2234–2242.
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[19] Han Zhang, Tao Xu, Hongsheng Li, et al. “StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks”. In: CoRR abs/1612.03242 (2016). arXiv: 1612.03242.
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