Information Technologies and Computer Engineering

This paper analyses the technologies for creating web applications, and as a result, Progressive Web App is chosen as the most suitable for solving the tasks. The features of the use of intelligent technologies for the problem of image recognition are investigated. The emphasis is placed on methods that use the TensorFlow neural network library. An own model of convolutional neural network for image recognition is created. To train the model, the dataset ‘The Quick, Draw! Dataset’ from Google Corporation was chosen for training the model. It has been determined that the advanced web application provides an opportunity to provide the resulting sample to the user faster than analogues. The results of comparing the performance of the developed and analogue applications are illustrated

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