£115.87

Springer Deep Learning: Concepts and Architectures 866 Book

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Description

Explore the fundamental principles of deep learning with this comprehensive guide from Springer. Part of the Studies in Computational Intelligence series, this book provides a clear introduction to how deep learning supports automatic mechanisms for structural knowledge representation. Readers will examine various multilayer architectures that produce meaningful pieces of knowledge. The text explains how these structural developments have become necessary for delivering competitive, practical solutions to real-world problems. By studying these architectural advancements, you can better understand how deep learning functions within modern computational settings. This resource is designed to bridge the gap between theoretical concepts and functional applications. It offers insights into how specific architectural changes drive the success of practical deep learning implementations, making it a valuable addition to your computer science and AI library.

Key Features

Covers fundamental deep learning concepts and the mechanisms used for automatic structural knowledge representation.

Provides detailed discussions on multilayer architectures that generate functional and meaningful knowledge.

Explains how structural developments in deep learning lead to competitive solutions for real-world challenges.

Part of the Studies in Computational Intelligence series, volume 866, for specialized academic study.

Demonstrates the relationship between architectural advancements and successful deep learning applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 November 2020
Listed Since
17 October 2020

Barcode

No barcode data available

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