Exploring Generative Adversarial Networks (15 results)

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Hardcover. Condition: 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.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Exploring the Limits of Generative Adversarial Networks investigates the capabilities and boundaries of GAN technology in creating realistic synthetic data. This book examines various architectures, training techniques, and applications spanning image synthesis, video generation, and data augmentation. It also addresses challenges such as mode collapse and stability issues, providing insights into pushing GAN performance further. The content is essential for researchers and practitioners aiming to harness GANs for innovative and practical uses. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Generative adversarial networks (GANs) have the potential to revolutionize the way we approach image and video generation, but their limitations and challenges are not yet fully understood. 'Exploring the Limits of Generative Adversarial Networks' provides a comprehensive exploration of the key challenges and opportunities that arise when using GANs in various applications. By examining the intricacies of GAN architectures, training methods, and evaluation metrics, this book offers a detailed examination of the key considerations and best practices required to develop GANs that are both effective and efficient. From the benefits of adversarial training to the importance of mode collapse, this book provides a nuanced exploration of the key challenges and opportunities that arise when exploring the limits of GANs. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. 'Exploring Generative Adversarial Networks in Creative Industries' investigates the transformative potential of GANs in fields like art, design, and entertainment. The book examines how adversarial models generate novel content, pushing the boundaries of creativity and automation. It discusses the technical intricacies of GAN architectures and their applications in producing realistic images, music, and multimedia. This resource provides a nuanced perspective on integrating cutting-edge AI with artistic expression, fostering innovation across creative sectors. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Exploring Generative Adversarial Networks in Art Creation showcases the transformative impact of GANs on contemporary artistic practices. It details how these algorithms generate novel visual content, pushing the boundaries of creativity and originality. The book explores technical aspects and artistic applications, illustrating how GANs serve as powerful tools for artists seeking to innovate. It emphasizes the synergy between machine learning and artistic expression, fostering new aesthetic possibilities. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The rapid advancement of artificial intelligence has led to a surge in the development of novel generative adversarial networks (GANs) techniques. At the forefront of this effort lies the application of GANs in creative industries, a powerful tool for generating novel and innovative content. In 'Exploring Generative Adversarial Networks in Creative Industries', experts in the field explore the latest advancements in GANs and its applications in creative industries. From the development of novel machine learning algorithms to the deployment of these systems in real-world scenarios, this book provides a comprehensive overview of the current state-of-the-art in GANs for creative industries. With its focus on practical applications and real-world examples, this book is an invaluable resource for artists, designers, and creatives seeking to harness the power of GANs. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence, enabling the creation of realistic and diverse data samples. Exploring the Creative Potential of Generative Adversarial Networks offers a comprehensive exploration of the creative applications of GANs, from image and video generation to music and text synthesis. By examining the technical, artistic, and cultural implications of GANs, this book provides a comprehensive framework for harnessing the creative potential of GANs. As researchers and artists seek to push the boundaries of what is possible with GANs, this book serves as a vital resource for innovators, artists, and industry professionals. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Exploring the Limits of Generative Adversarial Networks (GANs) is a groundbreaking work that probes the uncharted territories at the intersection of GANs and generative AI. By examining the complex relationships between GANs, generative AI systems, and artistic expression, this book offers a comprehensive framework for understanding the potential for GANs to generate novel and innovative artistic forms. Through a multidisciplinary approach that integrates insights from AI research, art theory, and GANs, Exploring the Limits of Generative Adversarial Networks (GANs) provides a profound understanding of the intricate dynamics between human creativity, AI systems, and GANs. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Exploring the Mathematics Behind Generative Adversarial Networks provides an in-depth look into the theoretical foundations of GANs. This book discusses the mathematical principles that underpin the adversarial training process, including game theory, optimization, and probability. It aims to clarify the complex algorithms that enable GANs to generate realistic data, images, and patterns. The narrative emphasizes understanding the core concepts that drive innovation in generative modeling and artificial intelligence. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.