Practice Generative Adversarial Networks (gans) (16.3.b)

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8 questions

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6 sample questions

Question 1.
What are GANs used for?
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Think about creative areas where AI can contribute.
Question 2.
Name the two components of GANs.
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One creates data, the other evaluates it.
3Question 3.
What does GAN stand for?
- Generative Auto Networks
- Generative Adversarial Networks
- General Adversarial Networks
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Consider the aspects of generation and competition.
4Question 4.
True or False: The discriminator in GANs creates new data.
- True
- False
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Think about the function of each component.
Question 5.
Consider a scenario where GANs are used to generate deepfake videos. Identify and discuss the societal implications of such technology.
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Focus on potential negative impacts in media and personal life.
Question 6.
Imagine you are tasked with designing an application using GANs for art creation. Outline your approach and how GANs would be utilized.
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Think about the training dataset and how you'll implement the generator's learning process.

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