DATA AUGMENTATION FOR NEURAL NETWORK OPTIMAL GENERALIZATION
Journal Title: International scientific journal Science and Innovation - Year 2023, Vol 2, Issue 3
Abstract
To expand the size of a real dataset, data augmentation techniques artificially create various versions of the original dataset. Following their application, many techniques and methods have demonstrated an improvement in the precision of machine learning models. It serves as a regularizer during machine learning model training and aids in lowering overfitting. This article will cover the application of data augmentation techniques based on different noise types that shows improved neural network performance.
Authors and Affiliations
Abdurashitova Muniskhon
Keywords
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