Course Summary and Next Steps

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.

What's Next

• Browse more TF-GAN examples.