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A homotopy training algorithm for fully connected neural networks
In this paper, we present a homotopy training algorithm (HTA) to solve optimization problems arising from fully connected neural networks with complicated structures. The HTA dynamically builds the neural network starting from a simplified version and ending with the fully connected network via addi...
שמור ב:
| הוצא לאור ב: | Proc Math Phys Eng Sci |
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| Main Authors: | , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
The Royal Society Publishing
2019
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6894535/ https://ncbi.nlm.nih.gov/pubmed/31824229 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2019.0662 |
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