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In which application are neural networks used to generate realistic images?
In which application are neural networks used to generate realistic images?
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In which application are neural networks used to generate realistic images?
Image recognition
Generative Adversarial Networks (GANs)
Image compression
Image filtering
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Generative Adversarial Networks (GANs) are a type of neural network used to generate realistic images.
Questions & Step-by-step Solutions
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Q: In which application are neural networks used to generate realistic images?
Solution:
Generative Adversarial Networks (GANs) are a type of neural network used to generate realistic images.
Steps: 6
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Step 1: Understand what neural networks are. They are computer systems that mimic the way the human brain works.
Step 2: Learn about Generative Adversarial Networks (GANs). They are a special type of neural network.
Step 3: Know that GANs consist of two parts: a generator and a discriminator.
Step 4: The generator creates images, while the discriminator evaluates them to see if they look real.
Step 5: The generator improves its images based on feedback from the discriminator until the images look very realistic.
Step 6: Conclude that GANs are used in applications like creating realistic images for art, video games, and movies.
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