Evaluation of the Effectiveness of Neural Networks Based on the Criteria for Completing the Object Classification Task

In the work there were studied various models and structures of neural networks. The neural networks in question are used to identify and recognize objects based on locator data. To solve the problem of object classification, datasets containing information about various objects, divided into classes, were formed. Further, neural networks were tested on their basis and an efficiency table was formed. The generated methods and criteria are planned to be used in automated machine learning tasks.