Abstract
The article considers the ResNet residual neural network model and its application to the problem of predicting the spread of COVID-19 in Ukraine. The study was implemented programmatically in Python. To train the model, time series of morbidity and vaccination rates were used. The result of the model was investigated for accuracy and speed. A comparative analysis of the results showed the performance of the ResNet model relative to another model of convolutional neural networks InceptionTime, but the accuracy of ResNet is lower.
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