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Training neural networks to encode symbols enables combinatorial generalization
Combinatorial generalization—the ability to understand and produce novel combinations of already familiar elements—is considered to be a core capacity of the human mind and a major challenge to neural network models. A significant body of research suggests that conventional neural networks cannot so...
Sparad:
| I publikationen: | Philos Trans R Soc Lond B Biol Sci |
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| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
The Royal Society
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6939346/ https://ncbi.nlm.nih.gov/pubmed/31840580 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2019.0309 |
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