Bölük, Can (2018) Addressing the Difficulty of Training Deep Neural Networks Using Gradient-Based Optimization Methods. Other thesis, TED Ankara Koleji.
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Abstract
Artificial Neural Networks (ANNs) are complex modelling techniques that can be used to find the relation between the output of a complex multivariable function and its arguments, effectively approximating it.
| Item Type: | Thesis (Other) |
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| Uncontrolled Keywords: | Deep Neural Networks, Artificial Neural Networks |
| Subjects: | Q Science > QA Mathematics |
| Depositing User: | Kamil Çömlekçi |
| Date Deposited: | 03 Dec 2018 06:24 |
| Last Modified: | 03 Dec 2018 06:24 |
| URI: | http://tedprints.tedankara.k12.tr/id/eprint/865 |
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