Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
Deep learning is presently attracting extra ordinary attention from both the industry and the academia. The application of deep learning in computer vision has recently gain popularity. The optimization of deep learning models through nature inspired algorithms is a subject of debate in computer...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Nature
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/74259/13/74259_Nature%20inspired%20meta-heuristic%20algorithms.pdf http://irep.iium.edu.my/74259/7/74259_%20nature%20inspired%20meta-heuristic_Scopus.pdf http://irep.iium.edu.my/74259/ https://link.springer.com/chapter/10.1007/978-3-030-17795-9_5#citeas https://doi.org/10.1007/978-3-030-17795-9_5 |
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http://irep.iium.edu.my/74259/13/74259_Nature%20inspired%20meta-heuristic%20algorithms.pdfhttp://irep.iium.edu.my/74259/7/74259_%20nature%20inspired%20meta-heuristic_Scopus.pdf
http://irep.iium.edu.my/74259/
https://link.springer.com/chapter/10.1007/978-3-030-17795-9_5#citeas
https://doi.org/10.1007/978-3-030-17795-9_5