Data Science: Theory, Algorithms, and Applications (Transactions on Computer Systems and Networks)

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.

Product details
ASIN ‏ : ‎ B09D76H1MC
Publisher ‏ : ‎ Springer (August 19, 2021)
Publication date ‏ : ‎ August 19, 2021
Language ‏ : ‎ English
File size ‏ : ‎ 73969 KB
Text-to-Speech ‏ : ‎ Enabled
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 606 pages
Lending ‏ : ‎ Not Enabled

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