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Data Science

Data Science Theory, Algorithms, and Applications - Transactions on Computer Systems and Networks

Paperback (21 Aug 2022)

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Publisher's Synopsis

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.

Book information

ISBN: 9789811616839
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
DEWEY: 006.32
DEWEY edition: 23
Language: English
Number of pages: 437
Weight: 837g
Height: 235mm
Width: 155mm