img Leseprobe Leseprobe

Deep Learning Classifiers with Memristive Networks

Theory and Applications

Alex Pappachen James (Hrsg.)

PDF
ca. 171,19 €
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

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.

Weitere Titel in dieser Kategorie

Kundenbewertungen

Schlagwörter

Memristor Materials, Memristive Edge Computing, Memristive Long Short Term Memory, Deep Learning Algorithms, Memristive Crossbar Arrays, Modular Crossbar Array, DNN- based Models for Speech Recognition, Memristive Deep Neural Networks, Memristive Convolutional Neural Network, Neuro-memristive Computing, Memristor Models, Memristor Multi-level Memories, Neural Network Classifiers, Hierarchical Temporal Memories, Deep Neuro-fuzzy Networks, Gradient Descent Algorithm