Deep learning classifiers with memristive networks :
نام عام مواد
[Book]
ساير اطلاعات عنواني
theory and applications /
نام نخستين پديدآور
Alex Pappachen James, editor.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Cham, Switzerland :
نام ناشر، پخش کننده و غيره
Springer,
تاریخ نشرو بخش و غیره
[2020].
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (xiii, 213 pages) :
ساير جزييات
illustrations (some color).
فروست
عنوان فروست
Modeling and optimization in science and technologies,
مشخصه جلد
volume 14
شاپا ي ISSN فروست
2196-7326 ;
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.