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Guide to convolutional neural networks: a practical application to traffic-sign detection and classification
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2017
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2297588 |
_version_ | 1780956865258061824 |
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author | Habibi Aghdam, Hamed Jahani Heravi, Elnaz |
author_facet | Habibi Aghdam, Hamed Jahani Heravi, Elnaz |
author_sort | Habibi Aghdam, Hamed |
collection | CERN |
id | cern-2297588 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
publisher | Springer |
record_format | invenio |
spelling | cern-22975882021-04-21T18:58:40Zhttp://cds.cern.ch/record/2297588engHabibi Aghdam, HamedJahani Heravi, ElnazGuide to convolutional neural networks: a practical application to traffic-sign detection and classificationComputing and ComputersSpringeroai:cds.cern.ch:22975882017 |
spellingShingle | Computing and Computers Habibi Aghdam, Hamed Jahani Heravi, Elnaz Guide to convolutional neural networks: a practical application to traffic-sign detection and classification |
title | Guide to convolutional neural networks: a practical application to traffic-sign detection and classification |
title_full | Guide to convolutional neural networks: a practical application to traffic-sign detection and classification |
title_fullStr | Guide to convolutional neural networks: a practical application to traffic-sign detection and classification |
title_full_unstemmed | Guide to convolutional neural networks: a practical application to traffic-sign detection and classification |
title_short | Guide to convolutional neural networks: a practical application to traffic-sign detection and classification |
title_sort | guide to convolutional neural networks: a practical application to traffic-sign detection and classification |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2297588 |
work_keys_str_mv | AT habibiaghdamhamed guidetoconvolutionalneuralnetworksapracticalapplicationtotrafficsigndetectionandclassification AT jahaniheravielnaz guidetoconvolutionalneuralnetworksapracticalapplicationtotrafficsigndetectionandclassification |