A comprehensive classification of deep learning libraries

Conference paper

Pandey, H. and Windridge, D. 2019. A comprehensive classification of deep learning libraries. International Congress on Information and Communication Technology. London, UK 27 - 28 Feb 2018 Springer Nature. pp. 427-435 https://doi.org/10.1007/978-981-13-1165-9_40
TypeConference paper
TitleA comprehensive classification of deep learning libraries
AuthorsPandey, H. and Windridge, D.
Abstract

Deep Learning (DL) networks are composed of multiple processing layers that learn data representations with multiple levels of abstraction. In recent years, DL networks have significantly improved the state-of-the-art across different domains, including speech processing, text mining, pattern recognition, object detection, robotics and big data analytics. Generally, a researcher or practitioner who is planning to use DL networks for the first time faces difficulties in selecting suitable software tools. The present article provides a comprehensive list and taxonomy of current programming languages and software tools that can be utilized for implementation of DL networks. The motivation of this article is hence to create awareness among researchers, especially beginners, regarding the various languages and interfaces that are available to implement deep learning, and to provide a simplified ontological basis for selecting between them.

KeywordsDeep learning; Deep learning libraries; Machine learning ; Deep belief network
Research GroupArtificial Intelligence group
LanguageEnglish
ConferenceInternational Congress on Information and Communication Technology
Page range427-435
ISSN2194-5357
ISBN
Hardcover9789811311642
PublisherSpringer Nature
Publication dates
Online29 Sep 2018
Print2019
Publication process dates
Deposited03 Jul 2018
Completed27 Feb 2018
Accepted18 Dec 2017
Output statusPublished
Accepted author manuscript
Copyright Statement

This is a pre-copyedited version of a contribution published in Third International Congress on Information and Communication Technology: ICICT 2018, London, Editors: Yang, X-S., Sherratt, S., Dey, N., Joshi, A. (2019) published by Springer Nature. The definitive authenticated version is available online via https://doi.org/10.1007/978-981-13-1165-9_40

Additional information

Proceedings published in the series: Advances in Intelligent Systems and Computing. Cite this paper as:
Pandey H.M., Windridge D. (2019) A Comprehensive Classification of Deep Learning Libraries. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Third International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 797. Springer, Singapore

Digital Object Identifier (DOI)https://doi.org/10.1007/978-981-13-1165-9_40
Scopus EID2-s2.0-85054313934
Web of Science identifierWOS:000455759800040
Book titleThird International Congress on Information and Communication Technology
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