You should now be able to:
- Understand the difference between generative and discriminative models.
- Identify problems that GANs can solve.
- Understand the roles of the generator and discriminator in a GAN system.
- Understand the advantages and disadvantages of common GAN loss functions.
- Identify possible solutions to common problems with GAN training.
- Use the TF GAN library to make a GAN.
- Browse more TF-GAN examples.