Deep Learning : Concepts and Architectures / edited by Witold Pedrycz, Shyi-Ming Chen.

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Deep Learning : Concepts and Architectures / edited by Witold Pedrycz, Shyi-Ming Chen.

9783030317560 (electronic book)
3030317560 (electronic book)
9783030317553
3030317552

Cham, Switzerland : Springer, 2020.

English

1 online resource (xii, 342 pages) : illustrations

10.1007/978-3-030-31

Q325.5

006.3

This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.

Includes bibliographical references and index.

Access limited to authorized users.

Studies in computational intelligence ; v. 866.

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