£98.45

Springer Data Science: Theory, Algorithms, and Applications

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Description

Explore the complex world of deep learning with this comprehensive volume from Springer. Part of the Transactions on Computer Systems and Networks series, this book provides a deep look into deep learning architectures and their specific applications within the multimedia domain. As deep learning models continue to change the landscape of multimedia research, this text helps readers understand how these models raise performance standards in standard evaluations. It addresses the modern multi-modal challenges that older systems struggle to manage. While the process of learning in deep neural networks can be difficult to comprehend or guide, this resource is designed to help those with a basic understanding of deep learning and machine learning navigate these advanced technical topics.

Key Features

Focuses on deep learning architectures and their practical applications in the multimedia domain.

Addresses modern multi-modal challenges that older systems are unable to handle effectively.

Designed for readers with a basic understanding of deep learning and its core architectures.

Provides insights into how deep learning models impact multimedia research and evaluation standards.

Offers technical depth for those with a helpful background in machine learning principles.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 August 2021
Listed Since
10 March 2021

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