advanced methods deep learning (27 Ergebnisse)

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Paperback. Zustand: Brand New. 562 pages. 9.25x7.50x1.00 inches. In Stock.

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Zustand: New. InhaltsverzeichnisrnrnPreface Emlyn Roy Davies, Octavia Camps and Matthew Turk 1. The changing face of computer vision Emlyn Roy Davies 2. Developments in machine learning: from deep networks to deep functional scene understanding Cornelia Fe.

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Taschenbuch. Zustand: Neu. Neuware - Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection.

Paperback. Zustand: New. Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.

Paperback. Zustand: New. Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.

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Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Advanced Deep Learning Methods Uncovered is a comprehensive guide to the intricacies of deep learning, offering a nuanced exploration of its applications and limitations. This book serves as a foundational resource for those seeking to grasp the fundamental principles of deep learning, from its theoretical underpinnings to its practical implementations. By examining the complex interplay between data, algorithms, and computational resources, Advanced Deep Learning Methods Uncovered provides a rich understanding of the field's potential and its challenges. For researchers and practitioners alike, this book offers a detailed analysis of the current state of deep learning, shedding light on its capacity to drive innovation and shape the future of 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.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The increasing complexity of natural language processing and text analysis demands innovative approaches to machine learning and artificial intelligence. 'Advanced Deep Learning Methods for Natural Language Processing and Text Analysis' presents a cutting-edge exploration of the ways in which advanced deep learning techniques can be applied to improve natural language processing and text analysis. By examining the strengths and limitations of deep learning models in natural language processing and text analysis, this book offers a comprehensive understanding of the potential benefits and challenges of integrating deep learning into natural language processing and text analysis. 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. Zustand: New. Zustand des Schutzumschlags: no dj. First. Advanced Methods for Deep-Learning in Rare Language Translation explores cutting-edge neural network techniques tailored for translating lesser-known languages. It emphasizes the challenges posed by limited data and proposes innovative solutions to overcome them. The book covers model architectures, training strategies, and evaluation metrics designed to enhance translation accuracy. It aims to advance the field of computational linguistics by providing insights into developing robust translation systems that preserve linguistic diversity and facilitate cross-cultural communication. 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. Zustand: New. Zustand des Schutzumschlags: no dj. First. Advanced Note-Taking Methods for Deep Learning presents a comprehensive guide to advanced note-taking methods for deep learning. By examining the cognitive processes that underlie effective note-taking, this book provides a framework for individuals to develop the skills and strategies needed to apply advanced note-taking techniques to optimize their learning experience. Through a series of case studies and practical examples, the author demonstrates how individuals can apply advanced note-taking principles to achieve their goals. By understanding the intricacies of advanced note-taking, this book empowers readers to take control of their learning process and achieve success. 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. Zustand: New. Zustand des Schutzumschlags: no dj. First. The challenge of translating rare languages has long been a thorn in the side of linguists and computer scientists alike. This cutting-edge book presents a range of advanced methods for deep-learning in rare language translation, drawing on the latest advances in neural networks and machine learning. By exploring the complexities of linguistic structure and cultural context, the book offers a sophisticated framework for understanding the intricacies of language translation. From the nuances of syntax and semantics to the challenges of cultural adaptation, this book is a must-read for anyone interested in the intersection of language, culture, and technology. 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. Zustand: New. Zustand des Schutzumschlags: no dj. First. Natural language processing (NLP) is a rapidly evolving field, and deep learning has played a crucial role in its development. This book provides a comprehensive overview of advanced deep learning methods for NLP, examining the latest techniques and architectures for processing and understanding human language. By exploring the intersection of deep learning and NLP, readers can gain a deeper understanding of the complex algorithms and techniques that underlie this rapidly evolving field. 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. Zustand: New. Zustand des Schutzumschlags: no dj. First. Deep learning has revolutionized the field of image classification, enabling machines to recognize and classify images with unprecedented accuracy. This book provides a comprehensive overview of the latest advanced deep learning methods for image classification, including convolutional neural networks, transfer learning, and object detection. By examining the theoretical foundations of deep learning and its applications in image classification, this guide provides a deeper understanding of how to develop and deploy state-of-the-art image classification models. Whether you're a researcher, developer, or data scientist, this book offers practical advice and expert insights on how to harness the power of deep learning for image classification. 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. Zustand: New. Zustand des Schutzumschlags: no dj. First. Advanced Deep Learning Methods for Image Recognition is a cutting-edge exploration of the latest advancements in deep learning for image recognition, from the development of new algorithms and architectures to the applications of deep learning in computer vision. This book examines the complex relationships between deep learning, image recognition, and computer vision, revealing the often-overlooked ways in which deep learning can be used to drive innovation and shape the future of artificial intelligence. By exploring the theoretical and practical implications of these advancements, Advanced Deep Learning Methods for Image Recognition offers a nuanced understanding of the ways in which deep learning can be used to support image recognition and computer vision. 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.

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Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 222.