Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis.
| Autor(en): | Richter, Mats L. Schöning, Julius Krumnack, Ulf |
Stichwörter: | Computer science; Deep learning; Training (meteorology); Receptive field; Task (project management); Convolutional neural network; Machine learning; Pattern recognition (psychology); Artificial neural network; Field (mathematics); Artificial intelligence | Erscheinungsdatum: | 2021 | Journal: | arXiv: Learning | Externe URL: | https://arxiv.org/pdf/2106.12307.pdf |
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