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On the Maximum Storage Capacity of the Hopfield Model
Recurrent neural networks (RNN) have traditionally been of great interest for their capacity to store memories. In past years, several works have been devoted to determine the maximum storage capacity of RNN, especially for the case of the Hopfield network, the most popular kind of RNN. Analyzing th...
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| 出版年: | Front Comput Neurosci |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2017
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5222833/ https://ncbi.nlm.nih.gov/pubmed/28119595 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2016.00144 |
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