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Springer Deep Learning: Concepts and Architectures 866 Book

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Description

Deep Learning: Concepts and Architectures (Studies in Computational Intelligence, 866) provides a comprehensive look into the fundamental principles of deep learning. This Springer publication explores how the deep learning paradigm supports automatic mechanisms for structural knowledge representation. Readers will examine various multilayer architectures that produce functionally meaningful pieces of knowledge. The text explains how recent structural developments have become necessary for creating competitive, practical solutions to real-world problems. By studying these architectural advancements, you can better understand the evolution of deep learning and its role in modern computational intelligence. This book is designed to bridge the gap between theoretical concepts and the practical delivery of effective technological solutions.

Key Features

Explores fundamental concepts of deep learning and its core principles.

Covers multilayer architectures that generate meaningful pieces of knowledge.

Examines how structural developments enable practical real-world solutions.

Discusses automatic mechanisms used for structural knowledge representation.

Part of the Studies in Computational Intelligence series, volume 866.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 November 2019
Listed Since
22 August 2019

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