Deep Learning Classifiers with Memristive Networks (inbunden)
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E-bok
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EPUB med LCP-kryptering (0.0 MB)
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Kan laddas ned under 24 månader, dock max 6 gånger.
Språk
Engelska
Utgivningsdatum
2019-04-08
Förlag
Springer International Publishing
ISBN
9783030145248

Deep Learning Classifiers with Memristive Networks E-bok

Theory and Applications

av Alex Pappachen James
E-bok (LCP),  Engelska, 2019-04-08
2350
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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.
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