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Generative Adversarial Networks (GANs)

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Table of Contents

Definition
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System with a generator (creates fake data) and discriminator (detects fakes).

Key Characteristics
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  • Adversarial training
  • Image synthesis
  • Mode collapse risks

Why It Matters
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Used for art generation, deepfakes, and data augmentation.

Examples
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  • StyleGAN
  • CycleGAN