Deep Learning: Concepts and Architectures

Name: Deep Learning: Concepts and Architectures
Brand: Springer Nature Switzerland AG
SKU: 9783030317553
Price: 159.34 EUR
Availability: InStock

Autor: Witold Pedrycz, Shyi-Ming Chen

Jazyk:

Väzba: Pevná

Vydavateľ: Springer Nature Switzerland AG

Dostupnosť: Skladom u dodávateľa

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159.34 €

This book introduces readers to the fundamental concepts of deep learning and offers practical insig...

Informácie o knihe

Autor

Witold Pedrycz, Shyi-Ming Chen

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2019

Stránok

342

EAN

9783030317553

Enbook ID

24520144

Vydavateľ

Springer Nature Switzerland AG

Hmotnosť

699

Rozmery

155 x 235 x 25

Kompletný popis

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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Deep Learning: Concepts and Architectures

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