Generative Adversarial Network (GAN)
Neural Networks
Two networks competing to generate realistic data
What is Generative Adversarial Network (GAN)?
GANs consist of a generator creating fake data and a discriminator trying to detect fakes. They compete, improving until fakes are indistinguishable from real.
Real-World Examples
- •Creating realistic faces
- •Image-to-image translation
- •Art generation
- •Data augmentation
When to Use This
For generating realistic images, videos, or data
Related Terms
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