Using neural networks, various variations of the classification of objects can be performed. Neural networks are used
in many areas of recognition. A big area in this area is text recognition. The paper considers the optimal way to build a
network for text recognition, the use of optimal methods for activation functions, and optimizers. Also, the article checked
the correctness of text recognition with different optimization methods.
This article is devoted to the analysis of convolutional neural networks. In the article, a convolutional neural network
model will be trained with a teacher. Teaching with a teacher is a type of training for neural networks in which you
provide the input data and the desired result, that is, the student looking at the input data will understand that you need to
strive for the result that was provided to him.