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.
- ISBN:
- 9783030145224
- 9783030145224
-
Category:
- Neural networks & fuzzy systems
- Format:
- Hardback
- Publication Date:
-
11-07-2019
- Publisher:
- Springer Nature Switzerland AG
- Country of origin:
- Switzerland
- Pages:
- 213
- Dimensions (mm):
- 235x155mm
- Weight:
- 0.51kg
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