SELF-LEARNING OF ARTIFICIAL INTELLIGENCE. BASIC PRINCIPLES OF ARTIFICIAL INTELLIGENCE OPERATION USING A SIMPLE EXAMPLE

Sadikova M. A. Fergana Branch of TUIT named after Muhammad al-Khwarizmi, Senior Lecturer at the Department of Software Engineering and Digital Economy. Avazova N. K. 3rd-year student at the Faculty of Software Engineering and Digital Economy.

Abstract

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.