Alex pappachen james (12 Ergebnisse)

Zustand: New. In.

Zustand: New.

hardcover. Zustand: Sehr gut. 226 Seiten; 9783030145224.2 Gewicht in Gramm: 1.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Intelligent Systems Technologies and Applications | Sabu M. Thampi (u. a.) | Taschenbuch | Advances in Intelligent Systems and Computing | xxv | Englisch | 2017 | Springer | EAN 9783319683843 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Zustand: Brand New. 444 pages. 9.25x6.10x0.98 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA'17), September 13-16, 2017, Manipal, Karnataka, India. All submissions were evaluated on the basis of their significance, novelty, and technical quality. This proceedings contains 34 papers selected for presentation at the Symposium. …

Hardcover. Zustand: Brand New. 228 pages. 9.25x6.10x0.67 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Zustand: New.

Zustand: gut. 2019. Deep Learning Classifiers with Memristive Networks: Theory and Applications (Modeling and Optimization in Science and Technologies, 14, Band 14) In deutscher Sprache. pages.