Deep Learning: Concepts and Architectures

Name: Deep Learning: Concepts and Architectures
Brand: Springer Nature Switzerland AG
SKU: 9783030317553
Price: 168.0 EUR
Availability: InStock

Автор: Witold Pedrycz, Shyi-Ming Chen

Език:

Корици: С твърди корици

Издател: Springer Nature Switzerland AG

Наличност: Външен склад

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168.00 € 328.58 лв

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

Информация за книгата

Автор

Witold Pedrycz, Shyi-Ming Chen

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2019

страници

342

EAN

9783030317553

Enbook ID

24520144

Издател

Springer Nature Switzerland AG

Теглоt

699

Размери

155 x 235 x 25

Пълно описание

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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Пълно описание

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