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Exploring Generative Adversarial Networks and Meta-Learning Synergies
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Condizione: New. In. Codice articolo ria9798369375754_new
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Exploring Generative Adversarial Networks and Meta-Learning Synergies (Hardcover)
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Hardcover. Condizione: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798369375754
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Exploring Generative Adversarial Networks and Meta-Learning Synergies (Hardcover)
Da: Grand Eagle Retail, Mason, OH, U.S.A.
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Hardcover. Condizione: new. Hardcover. Generative Adversarial Networks (GANs) and Meta-Learning synergies can be combined and leveraged to enhance the capabilities of artificial intelligence (AI) systems, particularly in areas such as image generation, style transfer, few-shot learning, and domain adaptation. These techniques can be integrated to develop more robust and efficient AI models. Ultimately, understanding the theoretical foundations, implementation strategies, and practical applications of GANs and Meta-Learning can be used to address complex real-world challenges. Exploring Generative Adversarial Networks and Meta-Learning Synergies explores the intersection and synergy between two cutting-edge AI techniques: GANs and Meta-Learning. It showcases the potential of these synergies in advancing the field of AI and addressing complex real-world challenges. Covering topics such as neuromorphic computing, transfer learning, and visual speech recognition, this book is an excellent resource for computer scientists, entrepreneurs, healthcare professionals, professionals, researchers, scholars, academicians, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798369375754
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Exploring Generative Adversarial Networks and Meta-Learning Synergies (Hardcover)
Da: AussieBookSeller, Truganina, VIC, Australia
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Hardcover. Condizione: new. Hardcover. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9798369375754
Quantità: 1 disponibili