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.
Concepts and Real-Time Applications of Deep Learning
RRP:
$238.00
Description
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.
Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world...
The era of digitization has paved the way for the emergence of multimedia technologies. The multimedia applications use a large video database. Applications such as video surveillance, traffic...
This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage...
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