Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training

Autor(en): Richter, Mats L.
Schoning, Julius 
Wiedenroth, Anna
Krumnack, Ulf 
Stichwörter: Computer science; Deep learning; Training (meteorology); Task (project management); Convolutional neural network; Machine learning; Artificial neural network; Artificial intelligence
Erscheinungsdatum: 2021
Journal: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
DOI: https://doi.org/10.1109/icmla52953.2021.00159

Zur Langanzeige

Seitenaufrufe

11
Letzte Woche
3
Letzter Monat
4
geprüft am 01.06.2024

Google ScholarTM

Prüfen

Altmetric