Deep Learning Classifiers with Memristive Networks : Theory and Applications /

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 lea...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	James, Alex Pappachen (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Modeling and Optimization in Science and Technologies, 14
Subjects:	Computational intelligence. Pattern recognition. Data mining. Optical data processing. Computational Intelligence. Pattern Recognition. Data Mining and Knowledge Discovery. Image Processing and Computer Vision. Electronic books.
Online Access:	Connect to the full text of this electronic book