A comprehensive classification of deep learning libraries
Conference paper
Pandey, H. and Windridge, D. 2019. A comprehensive classification of deep learning libraries. Yang, X.S., Sherratt, S., Dey, N. and Joshi, A. (ed.) 3rd International Congress on Information and Communication Technology. London, UK 27 - 28 Feb 2018 Singapore Springer. pp. 427-435 https://doi.org/10.1007/978-981-13-1165-9_40
Type | Conference paper |
---|---|
Title | A comprehensive classification of deep learning libraries |
Authors | Pandey, 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. |
Keywords | Deep learning; Deep learning libraries; Machine learning ; Deep belief network |
Research Group | Artificial Intelligence group |
Conference | 3rd International Congress on Information and Communication Technology |
Page range | 427-435 |
Proceedings Title | Third International Congress on Information and Communication Technology: ICICT 2018, London |
Series | Advances in Intelligent Systems and Computing |
Editors | Yang, X.S., Sherratt, S., Dey, N. and Joshi, A. |
ISSN | 2194-5357 |
Electronic | 2194-5365 |
ISBN | |
Hardcover | 9789811311642 |
Electronic | 9789811311659 |
Publisher | Springer |
Place of publication | Singapore |
Publication dates | |
Online | 29 Sep 2018 |
2019 | |
Publication process dates | |
Deposited | 03 Jul 2018 |
Completed | 27 Feb 2018 |
Accepted | 18 Dec 2017 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
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 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-981-13-1165-9_40 |
Scopus EID | 2-s2.0-85054313934 |
Web of Science identifier | WOS:000455759800040 |
Language | English |
https://repository.mdx.ac.uk/item/87v23
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