Receptive Field Analysis for Optimizing Convolutional Neural Network Architectures Without Training
| Autor(en): | Richter, Mats L. Schöning, Julius Wiedenroth, Anna Krumnack, Ulf |
Stichwörter: | Art; Epistemology; Pattern recognition (psychology); Mathematics; Field (mathematics); Mechanical engineering; Engineering; Pure mathematics; Operating system; Process (computing); Economics; Receptive field; Limiting; Visual arts; Task (project management); Architecture; Convolutional neural network; Computer engineering; Management; Computer science; Machine learning; Simple (philosophy); Artificial intelligence; Philosophy; Property (philosophy) | Erscheinungsdatum: | 2022 | Startseite: | 235 | Seitenende: | 261 | DOI: | https://doi.org/10.1007/978-981-19-6153-3_10 |
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geprüft am 01.06.2024
