Completed
Which face is fake?
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Deep Generative Modeling
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Which face is fake?
- 3 Supervised vs unsupervised learning
- 4 Why generative models? Outlier detection
- 5 Latent variable models
- 6 What is a latent variable?
- 7 Autoencoders: background
- 8 Dimensionality of latent space → reconstruction quality
- 9 Autoencoders for representation learning
- 10 VAEs: key difference with traditional autoencoder
- 11 VAE optimization
- 12 Priors on the latent distribution
- 13 VAEs computation graph
- 14 Reparametrizing the sampling layer
- 15 VAEs: Latent perturbation
- 16 VAE summary
- 17 Generative Adversarial Networks (GANs)
- 18 Intuition behind GANS
- 19 Progressive growing of GANS (NVIDIA)
- 20 Style-based generator: results
- 21 Style-based transfer: results
- 22 CycleGAN: domain transformation
- 23 Deep Generative Modeling Summary
