Deep Learning Classifiers With Memristive Networks : Theory and Applications,...
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Description
Deep Learning Classifiers With Memristive Networks : Theory and Applications,.... Deep Learning Classifiers With Memristive Networks : Theory and Applications, Hardcover by James, Alex Pappachen (EDT), ISBN 3030145220, ISBN-13 9783030145224, Like New Used, Free shipping in the US This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, th 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. Th 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.
