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Trainable hardware for dynamical computing using error backpropagation through physical media
Neural networks are currently implemented on digital Von Neumann machines, which do not fully leverage their intrinsic parallelism. We demonstrate how to use a novel class of reconfigurable dynamical systems for analogue information processing, mitigating this problem. Our generic hardware platform...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Nat Commun |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Nature Pub. Group
2015
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4382991/ https://ncbi.nlm.nih.gov/pubmed/25801303 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms7729 |
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