Data Science : Theory, Algorithms, and Applications /

This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and rai...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Verma, Gyanendra K. (Editor), Soni, Badal (Editor), Bourennane, Salah (Editor), Ramos, Alexandre C. B. (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Transactions on Computer Systems and Networks,
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
Physical Description:1 online resource (XXVII, 437 pages 239 illustrations, 166 illustrations in color.)
ISBN:9789811616815
ISSN:2730-7492
DOI:10.1007/978-981-16-1681-5