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data science theory algorithms applications

Type:: E-books
Files:: 6
Size:: 112.2 MB
Uploaded On:: Aug. 21, 2021, 3 p.m.
Added By:: tuts756
Seeders:: 1
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Info Hash:: 3E96F2EFEF3AA38D80C164F3DA2DAC94B3159A05

Description 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 Details Language: English Published: 2021 ISBN: 9811616809 Format: PDF, EPUB

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Details for: Data Science: Theory, Algorithms, and Applications

data science theory algorithms applications

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