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Deep learning classifiers with memristive networks: theory and applications
| Autor principal: | |
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| Lenguaje: | eng |
| Publicado: |
Springer International Publishing AG
2019
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2754595 |
| _version_ | 1780969466569424896 |
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| author | James, Alex Pappachen |
| author_facet | James, Alex Pappachen |
| author_sort | James, Alex Pappachen |
| collection | CERN |
| id | cern-2754595 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2019 |
| publisher | Springer International Publishing AG |
| record_format | invenio |
| spelling | cern-27545952021-04-21T16:43:15Zhttp://cds.cern.ch/record/2754595engJames, Alex PappachenDeep learning classifiers with memristive networks: theory and applicationsXXSpringer International Publishing AGoai:cds.cern.ch:27545952019 |
| spellingShingle | XX James, Alex Pappachen Deep learning classifiers with memristive networks: theory and applications |
| title | Deep learning classifiers with memristive networks: theory and applications |
| title_full | Deep learning classifiers with memristive networks: theory and applications |
| title_fullStr | Deep learning classifiers with memristive networks: theory and applications |
| title_full_unstemmed | Deep learning classifiers with memristive networks: theory and applications |
| title_short | Deep learning classifiers with memristive networks: theory and applications |
| title_sort | deep learning classifiers with memristive networks: theory and applications |
| topic | XX |
| url | http://cds.cern.ch/record/2754595 |
| work_keys_str_mv | AT jamesalexpappachen deeplearningclassifierswithmemristivenetworkstheoryandapplications |