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Deep Generative Modeling

Deep Generative Modeling

https://www.youtube.com/@AAmini/videos via YouTube Direct link

- Introduction

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1 of 12

- Introduction

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Classroom Contents

Deep Generative Modeling

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  1. 1 - Introduction
  2. 2 - Why do we care?
  3. 3 - Latent variable models
  4. 4 - Autoencoders
  5. 5 - Variational autoencoders
  6. 6 - Reparameterization trick
  7. 7 - Latent pertubation
  8. 8 - Debiasing with VAEs
  9. 9 - Generative adversarial networks
  10. 10 - Intuitions behind GANs
  11. 11 - GANs: Recent advances
  12. 12 - Summary

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