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
Publication dans des actes
Titre:
  • DensEMANN: Building A DenseNet From Scratch, Layer by Layer and Kernel by Kernel
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
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