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Ajouter au panierPaperback. Etat : new. Paperback. Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation. Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more. "This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Ajouter au panierHardcover. Etat : new. Hardcover. Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation. Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more. "This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Ajouter au panierPaperback. Etat : new. Paperback. Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation. Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more. "This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques"-- This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierPaperback. Etat : new. Paperback. Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation. Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more. "This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques"-- This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierHardcover. Etat : new. Hardcover. Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation. Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more. "This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques"-- This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierTaschenbuch. Etat : Neu. Crafting Images With Generative Adversarial Networks (GANs) and Models | Parul Dubey (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798369371534 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Ajouter au panierHardcover. Etat : new. Hardcover. Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation. Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more. "This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques"-- This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Ajouter au panierBuch. Etat : Neu. Crafting Images With Generative Adversarial Networks (GANs) and Models | Parul Dubey (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798369371527 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.