Let's evaluate our knowledge of GANs by answering the following questions:

1. What is the difference between generative and discriminative models?
2. Explain the role of a generator.
3. Explain the role of a discriminator.
4. What is the loss function of the generator and discriminator?
5. How does a DCGAN differ from a vanilla GAN?
6. What is KL divergence?
7. Define the Wasserstein distance.
8. What is the k-Lipschitz continuous function?