@article{Abdurashitova_2022, title={The Neural Networks Performance Improvement With Gaussian White Noise Augmentation}, volume={12}, url={https://acta.polito.uz/index.php/journal/article/view/134}, abstractNote={<p>Data augmentation is a strategy for creating synthetic data from existing data by adding slightly changed copies of current data to expand the amount of available data. When training a machine learning model, it functions as a regularizer and helps to reduce overfitting. This work will discuss the improved neural network performance with the data augmentation method employing Gaussian white noise.</p>}, number={1}, journal={Acta of Turin Polytechnic University in Tashkent}, author={Abdurashitova, Muniskhon}, year={2022}, month={Mar.}, pages={24–27} }