{"product_id":"9783030145224","title":"Deep Learning Classifiers with Memristive Networks: Theory and Applications","description":"\u003ch1\u003eDeep Learning Classifiers with Memristive Networks: Theory and Applications\u003c\/h1\u003e \u003ch2\u003eJames, Alex Pappachen\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2019-04-17\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030145224\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-14524-8\u003c\/p\u003e \u003cp\u003eDimensions: 235.0cm x155.0cm\u003c\/p\u003e \u003cp\u003ePages: 213.0\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":45383297695884,"sku":"9783030145224","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030145224.jpg?v=1765499297","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783030145224","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}