Optimization of neural network learning via system with automata approach

This paper presents an automata model for learning neural networks, implemented using the high-level programming language python and tested on the problem of binary classification. Also, within the system under consideration, a procedure for automating the neural network training by choosing a training strategy from the point of view of "best practices" is implemented.