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Generative Adversarial Networks in Practice

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  • 642pages
  • 23 heures de lecture

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Focusing on Generative Adversarial Networks (GANs), this resource offers a comprehensive guide to their methodologies and practical applications. It delves into real-world projects, providing insights into the mathematical and theoretical foundations that support GAN technology. Ideal for those looking to understand and implement GANs effectively, it serves as both an educational tool and a practical reference for practitioners in the field.

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Generative Adversarial Networks in Practice, Mehdi Ghayoumi

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Année de publication
2023
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