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Boltzmann Machines as Generalized Hopfield Networks: A Review of Recent Results and Outlooks
The Hopfield model and the Boltzmann machine are among the most popular examples of neural networks. The latter, widely used for classification and feature detection, is able to efficiently learn a generative model from observed data and constitutes the benchmark for statistical learning. The former...
Guardat en:
| Publicat a: | Entropy (Basel) |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7823871/ https://ncbi.nlm.nih.gov/pubmed/33383716 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23010034 |
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