Let's evaluate our knowledge of GANs by answering the following questions:
- What is the difference between generative and discriminative models?
- Explain the role of a generator.
- Explain the role of a discriminator.
- What is the loss function of the generator and discriminator?
- How does a DCGAN differ from a vanilla GAN?
- What is KL divergence?
- Define the Wasserstein distance.
- What is the k-Lipschitz continuous function?