Yüklüyor......
Neuromorphic Hardware Learns to Learn
Hyperparameters and learning algorithms for neuromorphic hardware are usually chosen by hand to suit a particular task. In contrast, networks of neurons in the brain were optimized through extensive evolutionary and developmental processes to work well on a range of computing and learning tasks. Occ...
Kaydedildi:
| Yayımlandı: | Front Neurosci |
|---|---|
| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2019
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6536858/ https://ncbi.nlm.nih.gov/pubmed/31178681 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00483 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|