Journal article 1338 views 251 downloads
Literature Review of Deep Network Compression
Informatics, Volume: 8, Issue: 4, Start page: 77
Swansea University Authors:
Xianghua Xie , Mark Jones
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Copyright: © 2021 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) Licence.
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DOI (Published version): 10.3390/informatics8040077
Abstract
Deep networks often possess a vast number of parameters, and their significant redundancy in parameterization has become a widely-recognized property. This presents significant challenges and restricts many deep learning applications, making the focus on reducing the complexity of models while maint...
| Published in: | Informatics |
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| ISSN: | 2227-9709 |
| Published: |
MDPI AG
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa58687 |

