Data augmentation Data augmentation is been used in deep learning for many reasons. One of the reason is to reduce overfitting and makes the model more robust. Data augmentation can be done relatively easy in keras package in R.
I have been reading about lost functions and optimisers in deep learning for the last couple of days when I stumble upon the term Exponentially Weighted Average (EWA). So, in this post I aims to explain my understanding of EWA.