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2 cards from this section. Quick, good the night before a test.
What does GAN stand for?
Think about what kind of network it is.
Name the two main components of a GAN.
One creates images, and the other judges them.
What does the Generator in a GAN do?
Think about which part generates the images.
True or False: The Discriminator in a GAN improves the Generator's performance.
Does it play a supportive role?
Discuss how the competitive nature of GANs influences the realism of generated images.
How does the feedback loop affect learning in GANs?
Propose a project where GANs could be utilized in a creative industry. What would be the possible benefits?
Consider what problems GANs can solve in creating designs.
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