Produktbild: Deep Learning Classifiers with Memristive Networks

Deep Learning Classifiers with Memristive Networks

Lieferzeit: Lieferbar innerhalb 14 Tagen

181,89 €

inkl. 7 % MwSt. zzgl. Versandkosten

Theory and Applications, Modeling and Optimization in Science and Technologies 14

ISBN: 3030145220
ISBN 13: 9783030145224
Herausgeber: Alex Pappachen James
Verlag: Springer Verlag GmbH
Umfang: xiii, 213 S., 22 s/w Illustr., 102 farbige Illustr., 213 p. 124 illus., 102 illus. in color.
Erscheinungsdatum: 17.04.2019
Auflage: 1/2020
Produktform: Gebunden/Hardback
Einband: Gebunden

This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.

Artikelnummer: 6304947 Kategorie:

Beschreibung

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …