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Deep Learning in Visual Computing and Signal Processing (Hardcover) Loot Price: R4,067
Discovery Miles 40 670
Deep Learning in Visual Computing and Signal Processing (Hardcover): Krishna Kant Singh, Vibhav, Kumar Sachan, Akansha Singh,...

Deep Learning in Visual Computing and Signal Processing (Hardcover)

Krishna Kant Singh, Vibhav, Kumar Sachan, Akansha Singh, Sanjeevikumar Padmanaban

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Loot Price R4,067 Discovery Miles 40 670 | Repayment Terms: R381 pm x 12*

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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 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.

General

Imprint: Apple Academic Press Inc.
Country of origin: Canada
Release date: October 2022
First published: 2022
Editors: Krishna Kant Singh • Vibhav, Kumar Sachan • Akansha Singh • Sanjeevikumar Padmanaban
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 308
ISBN-13: 978-1-77463-870-5
Categories: Books > Science & Mathematics > Science: general issues > General
Books > Professional & Technical > Environmental engineering & technology > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
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LSN: 1-77463-870-3
Barcode: 9781774638705

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