A target oriented averaging search trajectory and its application in artificial neural networks
The training of artificial neural networks usually involves nonsmooth objective func- tions to be minimized. This optimization problem is currently solved just avoing saddle points and thus reaching a local and fortunately a global minimizer. Well-known opti- mizers like Gradient Descent (GD) or its...
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| Format: | bachelorThesis |
| Langue: | eng |
| Publié: |
2019
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| Accès en ligne: | http://repositorio.yachaytech.edu.ec/handle/123456789/104 |
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