Comparative Analysis of Hyperparameter Optimization Using Optuna and Hyperopt for Convolutional Neural Networks
The process of training a neural network model is controlled by selecting optimal hyperparameters, which have a significant impact on its quality and performance. This impact has been confirmed both theoretically and empirically by numerous studies. If manual search is selected, the task can be labo...
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| Главный автор: | |
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| Формат: | Artigo |
| Язык: | Russo |
| Опубликовано: |
The Fund for Promotion of Internet media, IT education, human development «League Internet Media»
2024-10-01
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| Серии: | Современные информационные технологии и IT-образование |
| Предметы: | |
| Online-ссылка: | https://sitito.cs.msu.ru/index.php/SITITO/article/view/1154 |
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