Memristive deep convolutional neural networks

Olga Krestinskaya, Alex James Pappachen

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationModeling and Optimization in Science and Technologies
PublisherSpringer Verlag
Pages131-137
Number of pages7
DOIs
Publication statusPublished - Jan 1 2020

Publication series

NameModeling and Optimization in Science and Technologies
Volume14
ISSN (Print)2196-7326
ISSN (Electronic)2196-7334

Fingerprint

Learning
Neural Networks
Neural networks
Cover
Deep neural networks
Deep learning

ASJC Scopus subject areas

  • Modelling and Simulation
  • Medical Assisting and Transcription
  • Applied Mathematics

Cite this

Krestinskaya, O., & James Pappachen, A. (2020). Memristive deep convolutional neural networks. In Modeling and Optimization in Science and Technologies (pp. 131-137). (Modeling and Optimization in Science and Technologies; Vol. 14). Springer Verlag. https://doi.org/10.1007/978-3-030-14524-8_10

Memristive deep convolutional neural networks. / Krestinskaya, Olga; James Pappachen, Alex.

Modeling and Optimization in Science and Technologies. Springer Verlag, 2020. p. 131-137 (Modeling and Optimization in Science and Technologies; Vol. 14).

Research output: Chapter in Book/Report/Conference proceedingChapter

Krestinskaya, O & James Pappachen, A 2020, Memristive deep convolutional neural networks. in Modeling and Optimization in Science and Technologies. Modeling and Optimization in Science and Technologies, vol. 14, Springer Verlag, pp. 131-137. https://doi.org/10.1007/978-3-030-14524-8_10
Krestinskaya O, James Pappachen A. Memristive deep convolutional neural networks. In Modeling and Optimization in Science and Technologies. Springer Verlag. 2020. p. 131-137. (Modeling and Optimization in Science and Technologies). https://doi.org/10.1007/978-3-030-14524-8_10
Krestinskaya, Olga ; James Pappachen, Alex. / Memristive deep convolutional neural networks. Modeling and Optimization in Science and Technologies. Springer Verlag, 2020. pp. 131-137 (Modeling and Optimization in Science and Technologies).
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