عنوان

Deep learning classifiers with memristive networks :

(Number (ISBN

3030145239

(Number (ISBN

3030145247

(Number (ISBN

9783030145231

(Number (ISBN

9783030145248

Erroneous ISBN

3030145220

Erroneous ISBN

9783030145224

Title Proper

Deep learning classifiers with memristive networks :

General Material Designation

[Book]

Other Title Information

theory and applications /

First Statement of Responsibility

Alex Pappachen James, editor.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2020].

Specific Material Designation and Extent of Item

1 online resource (xiii, 213 pages) :

Other Physical Details

illustrations (some color).

Series Title

Modeling and optimization in science and technologies,

Volume Designation

volume 14

ISSN of Series

2196-7326 ;

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030145248

International Standard Book Number

9783030145224

Machine learning.

Neural networks (Computer science)

Machine learning.

Neural networks (Computer science)

TEC009000

UYQ

UYQ

Number

Edition

Class number

James, Alex Pappachen

Date of Transaction

20200823083758.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y