Deep Learning Object Detection by Elhanashi Abdussalam (7 results)

Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2026.

Condition: New.

Hardcover. Condition: Brand New. 205 pages. 6.14x0.50x9.21 inches. In Stock.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the ever-evolving field of computer vision, 'Deep Learning for Object Detection and Localization' serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically tailored to enhance object detection and localization tasks. From foundational concepts to cutting-edge techniques, readers will embark on a journey through the intricacies of convolutional neural networks (CNNs), region-based frameworks, and advanced algorithms that power modern object detection systems. The purpose of writing this book is to bridge the knowledge gap in the dynamic field of object detection and localization using deep learning. As technology progresses, there is an increasing demand for robust and efficient systems capable of identifying and pinpointing objects within images and videos. Despite the plethora of resources available, there remains a need for a focused, in-depth guide that comprehensively covers both theoretical aspects and practical implementations. This book aims to fulfill that need by providing a detailed, structured approach to mastering the complexities of object detection and localization.Readers will benefit from the problem-solving focus of this book, which addresses key challenges faced in real-world applications. Whether it's enhancing accuracy in autonomous driving, improving precision in medical imaging, or optimizing performance in surveillance systems, the book offers practical solutions and insights. By exploring state-of-the-art techniques and real-world case studies, 'Deep Learning for Object Detection and Localization' equips readers with the knowledge and tools necessary to tackle the pressing challenges in this rapidly advancing field. 187 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Hardcover. Condition: new. Hardcover. In the ever-evolving field of computer vision, "Deep Learning for Object Detection and Localization" serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically tailored to enhance object detection and localization tasks. From foundational concepts to cutting-edge techniques, readers will embark on a journey through the intricacies of convolutional neural networks (CNNs), region-based frameworks, and advanced algorithms that power modern object detection systems. The purpose of writing this book is to bridge the knowledge gap in the dynamic field of object detection and localization using deep learning. As technology progresses, there is an increasing demand for robust and efficient systems capable of identifying and pinpointing objects within images and videos. Despite the plethora of resources available, there remains a need for a focused, in-depth guide that comprehensively covers both theoretical aspects and practical implementations. This book aims to fulfill that need by providing a detailed, structured approach to mastering the complexities of object detection and localization.Readers will benefit from the problem-solving focus of this book, which addresses key challenges faced in real-world applications. Whether it's enhancing accuracy in autonomous driving, improving precision in medical imaging, or optimizing performance in surveillance systems, the book offers practical solutions and insights. By exploring state-of-the-art techniques and real-world case studies, "Deep Learning for Object Detection and Localization" equips readers with the knowledge and tools necessary to tackle the pressing challenges in this rapidly advancing field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the ever-evolving field of computer vision, 'Deep Learning for Object Detection and Localization' serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically tailored to enhance object detection and localization tasks. From foundational concepts to cutting-edge techniques, readers will embark on a journey through the intricacies of convolutional neural networks (CNNs), region-based frameworks, and advanced algorithms that power modern object detection systems. The purpose of writing this book is to bridge the knowledge gap in the dynamic field of object detection and localization using deep learning. As technology progresses, there is an increasing demand for robust and efficient systems capable of identifying and pinpointing objects within images and videos. Despite the plethora of resources available, there remains a need for a focused, in-depth guide that comprehensively covers both theoretical aspects and practical implementations. This book aims to fulfill that need by providing a detailed, structured approach to mastering the complexities of object detection and localization.Readers will benefit from the problem-solving focus of this book, which addresses key challenges faced in real-world applications. Whether it's enhancing accuracy in autonomous driving, improving precision in medical imaging, or optimizing performance in surveillance systems, the book offers practical solutions and insights. By exploring state-of-the-art techniques and real-world case studies, 'Deep Learning for Object Detection and Localization' equips readers with the knowledge and tools necessary to tackle the pressing challenges in this rapidly advancing field.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.…