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Deep Learning: Concepts and Architectures

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-030-31756-0 / 978-3030317560 / 9783030317560

Verlag: Springer International Publishing

Erscheinungsdatum: 29.10.2019

Seiten: 342

Herausgegeben von Witold Pedrycz, Shyi-Ming Chen

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