Lecture 6: Unsupervised Learning and Generative Models

Subspace models, autoencoders, unsupervised loss, generative adversarial nets, domain adaptation.

Slides

Videos

  • Main lecture
  • Supplementary material: Stabilizing GAN training

Lecture Notes

Accompanying notes for this lecture can be found here.

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