Recognizing historical handwritten documents using deep machine learning methods

The paper is devoted to the development and analysis of neural network approaches and methods for solving the problem of handwritten document recognition. To solve this problem, we proposes to use deep neural network models. The issues of configuration and training of the suggested models are considered, and their possible improvements are described and analyzed. The results of a numerical study of all proposed approaches and a comparison of their effectiveness in solving the problem are presented.