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Computational methods for deep learning: theoretic, practice and applications
| Autor principal: | |
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| Lenguaje: | eng |
| Publicado: |
Springer
2021
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2764350 |
| _version_ | 1780971106560114688 |
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| author | Yan, Wei Qi |
| author_facet | Yan, Wei Qi |
| author_sort | Yan, Wei Qi |
| collection | CERN |
| id | cern-2764350 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2021 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-27643502021-04-21T16:38:12Zhttp://cds.cern.ch/record/2764350engYan, Wei QiComputational methods for deep learning: theoretic, practice and applicationsComputing and ComputersSpringeroai:cds.cern.ch:27643502021 |
| spellingShingle | Computing and Computers Yan, Wei Qi Computational methods for deep learning: theoretic, practice and applications |
| title | Computational methods for deep learning: theoretic, practice and applications |
| title_full | Computational methods for deep learning: theoretic, practice and applications |
| title_fullStr | Computational methods for deep learning: theoretic, practice and applications |
| title_full_unstemmed | Computational methods for deep learning: theoretic, practice and applications |
| title_short | Computational methods for deep learning: theoretic, practice and applications |
| title_sort | computational methods for deep learning: theoretic, practice and applications |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/2764350 |
| work_keys_str_mv | AT yanweiqi computationalmethodsfordeeplearningtheoreticpracticeandapplications |