Abstract
Modeling as a universal approach to the study of the structure and behavior of complex objects is used in many academic disciplines, as it is a general didactic means of acquiring knowledge. A promising direction in the development of mathematical modeling is modeling the behavior of intelligent systems, which is being improved due to the introduction of new information technologies, telecommunication systems and the massive use of computer technology. Modeling takes on the functionality of a powerful and effective tool for researching a variety of intelligent systems from various fields of human activity. One of the most popular methods for studying the functioning of intelligent systems are machine learning methods for processing large amounts of data, in particular, the apparatus of neural networks. The article discusses the features of constructing the simplest neural networks by using the Teachable Machine online system and online compilers of programming languages in the classroom on computer modeling at school. Detailed examples of building neural network models in Python and C ++ programming languages are given.
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