Data Science

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Data Science

Theory, Algorithms, and Applications

Graphical and digital media applications Artificial intelligence Machine learning

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Collection: Transactions on Computer Systems and Networks

Language: English

Published by: Springer

Published on: 19th August 2021

Format: LCP-protected ePub

Size: 97 Mb

ISBN: 9789811616815


Target Audience and Background

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.

Impact of Deep Learning in Multimedia

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.

Challenges and Learning Process

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.

What Readers Will Gain

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.

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