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 |
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geprüft am 01.06.2024