The DOI matches its Crossref record; 203 of the 203 references it cites were found in a registry or an index.
A survey on deep learning and its applications
Abstract
Abstract Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary and the induction methods of deep learning. Firstly, it introduces the global development and the current situation of deep learning. Secondly, it describes the structural principle, the characteristics, and some kinds of classic models of deep learning, such as stacked auto encoder, deep belief network, deep Boltzmann machine, and convolutional neural network. Thirdly, it presents the latest developments and applications of deep learning in many fields such as speech processing, computer vision, natural language processing, and medical applications. Finally, it puts forward the problems and the future research directions of deep learning.
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Cites
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Cited by
Mancia, G., Kreutz, R., Brunström, M., Burnier, M., Grassi, G., Januszewicz, A., Muiesan, M. L., Tsioufis, K., Agabiti-Rosei, E., Algharably, E. A. E., et al. (2023) · Journal of Hypertension · doi:10.1097/hjh.0000000000003480 · Cited by 3,473
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Metadata
- Authors
- Dong, S., Wang, P., & Abbas, K.
- Venue
- Computer Science Review
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 40
- Pages
- 100379
- ISSN
- 1574-0137 (ISSN-L)
- OpenAlex
- W3136021864
- Cited by
- 1,544
- References
- 203
- FWCI
- 88.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Funders
- Beijing University of Posts and Telecommunications (SKLNST-2020-2-01)
- State Key Laboratory of Networking and Switching Technology
- Zhoukou Normal University
- Science and Technology Program of Hunan Province
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