par García-Díaz, Antonio 
;Bersini, Hugues
Référence 2021 International Joint Conference on Neural Networks (IJCNN)(18-22 July 2021: Shenzhen, China), 2021 International Joint Conference on Neural Networks (IJCNN), 2021 Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE)
Publication Publié, 2021-09-20
;Bersini, Hugues Référence 2021 International Joint Conference on Neural Networks (IJCNN)(18-22 July 2021: Shenzhen, China), 2021 International Joint Conference on Neural Networks (IJCNN), 2021 Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE)
Publication Publié, 2021-09-20
Publication dans des actes
| Titre: |
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| Auteur: | García-Díaz, Antonio; Bersini, Hugues |
| Informations sur la publication: | 2021 International Joint Conference on Neural Networks (IJCNN)(18-22 July 2021: Shenzhen, China), 2021 International Joint Conference on Neural Networks (IJCNN), 2021 Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE) |
| Statut de publication: | Publié, 2021-09-20 |
| Sujet CREF: | Intelligence artificielle |
| Informatique mathématique | |
| Informatique générale | |
| Mots-clés: | Convolution |
| Architecture | |
| Neural networks | |
| Buildings | |
| Kernel | |
| neural network | |
| architecture | |
| topology | |
| neural architecture search | |
| NAS | |
| optimization | |
| self-structuring | |
| self-constructing | |
| DenseNet | |
| EMANN | |
| connection strength | |
| Langue: | Anglais |
| Identificateurs: | urn:isbn:978-0-7381-3366-9 |
| info:doi/10.1109/IJCNN52387.2021.9533783 |
