Welcome to course 3 of Generative Adversarial Networks.
In this course, you will:
- Explore the applications of GANs and examine them wrt data augmentation, privacy, and anonymity
- Leverage the image-to-image translation framework and identify applications to modalities beyond images
- Implement Pix2Pix, a paired image-to-image translation GAN, to adapt satellite images into map routes (and vice versa)
- Compare paired image-to-image translation to unpaired image-to-image translation and identify how their key difference necessitates different GAN architectures
- Implement CycleGAN, an unpaired image-to-image translation model, to adapt horses to zebras (and vice versa) with two GANs in one
Please feel free to search for a topic that you’re interested in or start one of your own if you don’t find what you are looking for!