Deep learning in visual computing and signal processing / edited by Krishna Kant Singh, Vibhav Kumar Sachan, Akansha Singh, Sanjeevikumar Padmanaban.

Format Electronic
EditionFirst edition.
Publication InfoPalm Bay, FL, USA : Apple Academic Press ; Boca Raton, FL, USA : CRC Press, 2023.
Descriptionxv, 270 pages : illustrations ; 24 cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects
Computer vision.
Signal processing--Digital techniques.
Deep learning (Machine learning)

Other author/creatorSingh, Krishna Kant (Telecommunications professor)
Other author/creatorSachan, Vibhav Kumar.
Other author/creatorSingh, Akansha.
Other author/creatorSanjeevikumar, Padmanaban, 1978-
Partial contents Deep learning architecture and framework / Ashish Tripathi, Shraddha Upadhaya, Arun Kumar Singh, Krishna Kant Singh, Arush Jain, Pushpa Choudhary, and Prem Chand Vashist -- Deep learning in neural networks : an overview / Vidit Shukla and Shilpa Choudhary -- Deep learning current trends and techniques / Bharti Sharma, Arun Balodi, Utku Kose, and Akansha Singh.
Abstract "This new volume, Deep Learning in Visual Computing and Signal Processing, covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on deep learning, and more. Key features : covers both the fundamentals and the latest concepts in deep learning, presents some of the diverse applications of deep learning in visual computing and signal processing, and includes over 90 figures and tables to elucidate the text. An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this valuable resource will serve as a guide for researchers, engineers, and students who want to have a quick start on learning and/or building deep learning systems. It provides a good theoretical and practical understanding and complete information and knowledge required to understand and build deep learning models from scratch"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022016047
ISBN9781774638705 (hbk.)
ISBN9781774638712 (pbk.)
ISBN(ebk.)

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