“…Data enhancement is an essential data preprocessing method. Data augmentation aims to expand the size of the training dataset by making minor changes to existing data [7] . This is an essential step in the deep learning model training process, which can alleviate the problem of insufficient training data, thus reducing the overfitting phenomenon in deep learning model training and improving the neural network's performance.…”
Section: Experimental Design Materials and Methodsmentioning
“…Data enhancement is an essential data preprocessing method. Data augmentation aims to expand the size of the training dataset by making minor changes to existing data [7] . This is an essential step in the deep learning model training process, which can alleviate the problem of insufficient training data, thus reducing the overfitting phenomenon in deep learning model training and improving the neural network's performance.…”
Section: Experimental Design Materials and Methodsmentioning
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