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Published by Notion Press 10/10/2019, 2019
ISBN 10: 1646788222 ISBN 13: 9781646788224
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Paperback. Condition: Brand New. 48 pages. 8.50x8.46x0.16 inches. In Stock.
Language: English
Published by Notion Press Media Pvt Ltd 2019-12-05, 2019
ISBN 10: 1646788222 ISBN 13: 9781646788224
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Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 103285684X ISBN 13: 9781032856841
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Paperback. Condition: New. This book demystifies the concept of AI-driven creativity with an in-depth understanding of the underlying principles, algorithms, and applications of generative AI. It begins with a coverage of AI fundamentals, followed by a technical discussion including detailed explanations of model architectures, training processes, and optimisation techniques. It explores case studies showcasing how generative AI is reshaping industries such as entertainment, marketing, design, and healthcare. The book also tackles ethical considerations, addressing issues related to bias, transparency, and responsible AI development.Features:Provides deep understanding of generative AI, including in-depth coverage of various generative models such as GANs, VAEs, and RNNs.Includes practical, real-world examples of how generative AI is applied in different industries.Dedicates significant attention to ethical considerations.Equips readers with the knowledge and tools to build, train, and deploy their own generative AI systems.Offers thorough explanations of AI algorithms, neural network architectures, and training processes.This book is aimed at graduate students and researchers in computer engineering, AI and ML.
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Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 103285684X ISBN 13: 9781032856841
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Paperback. Condition: New. This book demystifies the concept of AI-driven creativity with an in-depth understanding of the underlying principles, algorithms, and applications of generative AI. It begins with a coverage of AI fundamentals, followed by a technical discussion including detailed explanations of model architectures, training processes, and optimisation techniques. It explores case studies showcasing how generative AI is reshaping industries such as entertainment, marketing, design, and healthcare. The book also tackles ethical considerations, addressing issues related to bias, transparency, and responsible AI development.Features:Provides deep understanding of generative AI, including in-depth coverage of various generative models such as GANs, VAEs, and RNNs.Includes practical, real-world examples of how generative AI is applied in different industries.Dedicates significant attention to ethical considerations.Equips readers with the knowledge and tools to build, train, and deploy their own generative AI systems.Offers thorough explanations of AI algorithms, neural network architectures, and training processes.This book is aimed at graduate students and researchers in computer engineering, AI and ML.
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Published by Taylor & Francis Ltd, 2025
ISBN 10: 103285684X ISBN 13: 9781032856841
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