Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent
In this paper we propose the fractional gradient descent for increasing the training and work of modern neural networks. This optimizer searches the global minimum of the loss function considering the fractional gradient directions achieved by Riemann-Liouville, Caputo, and Grunwald-Letnikov derivat...
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| Hauptverfasser: | , , , , , , , |
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| Format: | Статья |
| Sprache: | English |
| Veröffentlicht: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Schlagworte: | |
| Online Zugang: | https://dspace.ncfu.ru/handle/123456789/29336 |
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