The Study of The Problems of Building Intelligent Classification Systems for Objects of National Culture Based on Machine Learning Methods

The possibility of using intelligent technologies to solve the problem of implementing an active policy to introduce the younger generation to cultural heritage, national values in order to foster the spirit of patriotism, understanding the value of our independence is being considered. The subject of the research in this work is the effectiveness of using intelligent systems to solve problems of object classification. The purpose of the study is to increase the accuracy of recognition. The paper shows the method of sequential description of the Sequential API model, which allows you to keep models convenient for human perception, as well as create an instance of the model class. The result of the work is an intelligent object classification system. The values of the results of the algorithm for sequential description of the model are analyzed and presented. The maximum recognition accuracy during model training was 0.73%.