Annotation: The article provides a comprehensive overview of modern concepts, methods, and the significance of self-learning for the development of AI. Starting with the definition and technical aspects of self-learning, the article delves into the core advantages and challenges of this approach, emphasizing effective strategies to manage constraints. Additionally, it conducts research that illuminates the fundamental principles of neural network operation. The training results of the model are depicted in the change of accuracy on both training and test data in each epoch, allowing for an assessment of the model's performance and identification of necessary enhancements to improve its efficiency.
| Mualliflar | Avazova, Navruzakhon, Садикова, М.А. |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2023-12-11 |
| Son | 4 |
| Betlar | 246-250 |
| Til | Rus |
Искусственный интеллект, машинное обучение, самообучение, интеллектуальные системы, автономная навигация, переобучение, стабильные алгоритмы, базовые принципы, нейронные сети, вероятные метрики, набор данных MNIS, гиперпараметры, глубокое обучение, валидация модели
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