Memristive deep convolutional neural networks

Olga Krestinskaya; Alex Pappachen James

doi:10.1007/978-3-030-14524-8_10

Memristive deep convolutional neural networks

Olga Krestinskaya, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

This chapter covers the implementation of deep learning neural networks and memristive systems. In particular, deep memristive convolutional neural network (CNN) implementation is illustrated. In addition, the main issues and challenges of deep neural network implementation are discussed.

Original language	English (US)
Title of host publication	Modeling and Optimization in Science and Technologies
Publisher	Springer [email protected]
Pages	131-137
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-030-14524-8_10
State	Published - Jan 1 2020
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-23

ASJC Scopus subject areas

Modeling and Simulation
Medical Assisting and Transcription
Applied Mathematics

Access to Document

10.1007/978-3-030-14524-8_10

Cite this

@inbook{165c8ec68e624222b7edfa3739111f51,

title = "Memristive deep convolutional neural networks",

abstract = "This chapter covers the implementation of deep learning neural networks and memristive systems. In particular, deep memristive convolutional neural network (CNN) implementation is illustrated. In addition, the main issues and challenges of deep neural network implementation are discussed.",

author = "Olga Krestinskaya and James, {Alex Pappachen}",

note = "Generated from Scopus record by KAUST IRTS on 2023-09-23",

year = "2020",

month = jan,

day = "1",

doi = "10.1007/978-3-030-14524-8_10",

language = "English (US)",

pages = "131--137",

booktitle = "Modeling and Optimization in Science and Technologies",

publisher = "Springer [email protected]",

}

TY - CHAP

T1 - Memristive deep convolutional neural networks

AU - Krestinskaya, Olga

AU - James, Alex Pappachen

N1 - Generated from Scopus record by KAUST IRTS on 2023-09-23

PY - 2020/1/1

Y1 - 2020/1/1

N2 - This chapter covers the implementation of deep learning neural networks and memristive systems. In particular, deep memristive convolutional neural network (CNN) implementation is illustrated. In addition, the main issues and challenges of deep neural network implementation are discussed.

AB - This chapter covers the implementation of deep learning neural networks and memristive systems. In particular, deep memristive convolutional neural network (CNN) implementation is illustrated. In addition, the main issues and challenges of deep neural network implementation are discussed.

UR - http://link.springer.com/10.1007/978-3-030-14524-8_10

UR - http://www.scopus.com/inward/record.url?scp=85064735189&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-14524-8_10

DO - 10.1007/978-3-030-14524-8_10

M3 - Chapter

SP - 131

EP - 137

BT - Modeling and Optimization in Science and Technologies

PB - Springer [email protected]

ER -

Memristive deep convolutional neural networks

Abstract

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this