Convolutional neural networks are acquiring general acknowledgement for diverse application areas. The article describes the process of solving the task of images classification using convolutional neural networks. The authors present the examples of using convolutional neural networks for various purposes. The composed set of data is used to implement and train the model of convolutional neural network for the task of classification of medical images.

The article discusses the employment of an artificial neural network for the problem of image classification. Based on the compiled dataset, a convolutional neural network model was implemented and trained. An application for images classification was created. The practical value of the developed application allows an efficient use of a smartphone camera’s storage facilities. The article presents a detailed methodology of the application’s development.