Deep Learning Classifiers with Memristive Networks: Theory and Applications (True EPUB)

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Deep Learning Classifiers with Memristive Networks: Theory and Applications (True EPUB)

English | EPUB | 2020 | 216 Pages | ISBN : 3030145220 | 34.44 MB




This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems

Deep Learning Classifiers with Memristive Networks: Theory and Applications (True EPUB)

English | EPUB | 2020 | 216 Pages | ISBN : 3030145220 | 34.44 MB




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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