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Mastering Generative Adversarial Networks (GANs): The Art and Math of AI Creation
- At the heart of GANs lies a game-theoretic concept where two networks compete
- The Mathematics of GANs: Framed as a minimax optimization problem
- Applications of GANs: Image generation, healthcare, gaming, data augmentation, deepfake creation and detection
- Challenges and Future Directions: Stabilizing training, improving evaluation techniques, reducing resource dependency
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