concepts real time applications deep (7 Ergebnisse)

Zustand: New.

Taschenbuch. Zustand: Neu. Concepts and Real-Time Applications of Deep Learning | Smriti Srivastava (u. a.) | Taschenbuch | x | Englisch | 2022 | Springer | EAN 9783030761691 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Neuware -This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields.Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures;Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies;Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields.Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures;Includes a survey of deep learning problems and solutions,identifyingthe main open issues, innovations and latest technologies;Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields.Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures;Includes a survey of deep learning problems and solutions,identifyingthe main open issues, innovations and latest technologies;Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.

Paperback. Zustand: Brand New. 219 pages. 9.25x6.10x0.63 inches. In Stock.

Hardcover. Zustand: Brand New. 219 pages. 9.25x6.10x0.71 inches. In Stock.