Machine Learning, Deep Learning, Data Science, Gans, Artificial Intelligence.
networks to learn these miscellaneous affine transformations that improve model performance. However, the application of GANs could prove to be much more useful as an alternative or as a hybrid data augmentation procedure. The purpose of this article is to present some of the questions about using