عنوان

Deep learning classifiers with memristive networks :

3030145239

3030145247

9783030145231

9783030145248

3030145220

9783030145224

Deep learning classifiers with memristive networks :

[Book]

theory and applications /

Alex Pappachen James, editor.

Cham, Switzerland :

Springer,

[2020].

1 online resource (xiii, 213 pages) :

illustrations (some color).

Modeling and optimization in science and technologies,

volume 14

2196-7326 ;

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.

Springer Nature

com.springer.onix.9783030145248

9783030145224

Machine learning.

Neural networks (Computer science)

Machine learning.

Neural networks (Computer science)

TEC009000

UYQ

UYQ

James, Alex Pappachen

20200823083758.0

pn

[Book]

Y