TLDR
Using Data Augmentation, we can increase the size of our training data many times over. It can also reduce overfitting and improve the generalization of our models. In this article, we will focus on image augmentation as it is currently the most active field of research, but most of these techniques can be applied to all sorts of data. It is not always easy and it might not produce the best results, but it’s still a viable alternative. We can use machine learning methods to train more machine learning models to produce more data.via the TL;DR App
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Written by limarc | Director of Content @ISNation & HackerNoon's Editorial Ambassador by day, VR Gamer and Anime Binger by night.
