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Deep Learning: Concepts and Architectures

Language EnglishEnglish
Book Paperback
Book Deep Learning: Concepts and Architectures Witold Pedrycz
Libristo code: 33397320
Publishers Springer Nature Switzerland AG, November 2020
This book introduces readers to the fundamental concepts of deep learning and offers practical insig... Full description
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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.

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About the book

Full name Deep Learning: Concepts and Architectures
Author Witold Pedrycz
Language English
Binding Book - Paperback
Date of issue 2020
Number of pages 356
EAN 9783030317584
ISBN 3030317587
Libristo code 33397320
Publishers Springer Nature Switzerland AG
Weight 540
Dimensions 155 x 235 x 20

Categories

Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Computing & Information Technology > Computer science > Artificial intelligence
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