finelybook
Deep Learning Classifiers with Memristive Networks: Theory and Applications
by 作者: Alex Pappachen James
Pages: 213 pages
Edition 版本: 1
Language 语言: English
Publisher Finelybook 出版社:
Released: 2019-04-09
ISBN-10 书号: 3030145220
ISBN-13 书号: 9783030145224
Book Description
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.
