Learn what generative adversarial networks (GANs) are and how they can create fake images of people and other things. Understand the advantages and disadvantages of GANs and their applications in various domains.
Table of Contents
Question
The technology behind generating fake images of people is known as a generative adversarial network (GAN).
A. True
B. False
Answer
A. True
Explanation
The correct answer is A. True. A generative adversarial network (GAN) is a type of AI system that can generate realistic and diverse images of people, objects, scenes, etc., that do not exist in reality. A GAN consists of two components: a generator and a discriminator.
The generator tries to create fake images that look real, while the discriminator tries to distinguish between real and fake images. The generator and the discriminator compete and learn from each other, improving the quality and variety of the generated images.
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