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В данной работе рассматривается решение проблемы распознавания двигательной активности человека с помощью методов глубокого обучения. Для этой проблемы предложен алгоритм свёрточной нейронной сети. Работа выполнена на языке Python, использованы библиотеки Pandas, NumPy, SciPy, TensorFlow, Keras, Scikit-learn, Seaborn.
In this paper, we consider the solution to the problem of human activity recognition using deep learning methods. The convolutional neural network algorithm is proposed for this problem. The work was done in Python, the libraries Pandas, NumPy, SciPy, TensorFlow, Keras, Scikit-learn, Seaborn were used.
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