- Week 1: GANs for Data Augmentation and Privacy
- Learn different applications of GANs, understand the pros/cons of using them for data augmentation, and see how they can improve downstream AI models!
- Week 2: Image-to-Image Translation with Pix2Pix
- Understand image-to-image translation, learn about different applications of this framework, and implement a U-Net generator and Pix2Pix, a paired image-to-image translation GAN!
- Week 3: Unpaired Translation with CycleGAN
- Understand how unpaired image-to-image translation differs from paired translation, learn how CycleGAN implements this model using two GANs, and implement a CycleGAN to transform between horses and zebras!
