FEATURES OF THE APPLICATION OF DEEP LEARNING TECHNOLOGY BY FUTURE ENGINEERS IN SOLVING PRACTICAL PROBLEMS

Abstract

In the article the key aspects and features of the application of deep learning technologies by future technical engineers to solve practical problems in various areas of the industrial sector for the national digital economy are discussed. With the rapid development of the Industry 4.0 concept and the growth of data volumes, including industrial data, deep learning is becoming an important tool in the arsenal of a modern engineer. It is conducted the analysis of deep learning algorithms. The paper introduces the examples of the integration of intelligent models into real production processes. Particular attention is paid to the successful application of artificial neural networks for predicting the compressive strength of concrete. In conclusion, the author emphasizes the need to develop students’ skills in working with modern tools for industrial data analysis and development of digital models, which will allow them to effectively solve complex analytical problems and adapt to the rapidly changing requirements of the modern labor market. The article will be useful for both students and teachers interested in artificial intelligence technologies, especially in the field of deep learning, in the context of the educational process for training future engineering personnel.