Functional Concept Proxies and the Actually Smart Hans Problem: What’s Special About Deep Neural Networks in Science.
Deep Neural Networks (DNNs) are becoming increasingly important as scientific tools, as they excel in various scientific applications beyond what was considered possible. Yet from a certain vantage point, they are nothing but parametrized functions f θ (x) of some data vector x , and their ‘learning...
| Publicado en: | Synthese Vol. 203; no. 1; pp. 1 - 40 |
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| Formato: | Artículo |
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Springer Nature
Jan2024
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| Acceso en línea: | Ver este registro en EBSCOhost |