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The Dropout Learning Algorithm
Dropout is a recently introduced algorithm for training neural network by randomly dropping units during training to prevent their co-adaptation. A mathematical analysis of some of the static and dynamic properties of dropout is provided using Bernoulli gating variables, general enough to accommodat...
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| Main Authors: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3996711/ https://ncbi.nlm.nih.gov/pubmed/24771879 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.artint.2014.02.004 |
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