SOFTWARE ANALYSIS FOR THE TASK OF INTELLECTUAL CONTROL OF TECHNOLOGICAL PROCESSES

Abstract

The main features of the use of the Python programming language in the field of modeling artificial neural networks are considered. It is shown that the developed system of libraries of the Python programming language significantly simplifies the process of developing neural networks. It is noted that one of the key advantages of the Python language is its convenience for rapid prototyping. At the same time, the interpreted nature of the language allows you to quickly test different architectures of neural networks, change parameters and obtain results in real time. It is noted that the Python programming language provides easy integration with other programming languages and frameworks. It is shown that the TensorFlow and Keras libraries are powerful tools for modeling and training neural networks. They greatly simplify the development process by providing a wide range of features for creating, optimizing, and deploying machine learning models.