https://docs.google.com/presentation/d/1BtGCy57w3mfYxiGMcm2mcYpvpHYJsu_-/edit?usp=sharing&ouid=107956359237789538519&rtpof=true&sd=true

Scope:

• Autoencoder, Autoregressive model, n-gram and language model (3 weeks)

• VAE (1 week)

• GAN (3 weeks)

  • DCGAN/WGAN/SNGAN
  • Pix2Pix and CycleGAN

• Diffusion Model (3 weeks)

• Language Model (3 weeks)

• Other methods and Recent advances (2 weeks)

• Stanford CS236 Lecture notes: Aditya Grover, https://deepgenerativemodels.github.io/notes/index.html

• Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play 1st Edition by David Foster

Playground

• https://thisanimedoesnotexist.ai/