Course Summary and Next Steps

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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