good representations first such that classifying them becomes very simple and in essence what this paper says is if we have a representation space W shouldn't images of the same class shouldn't we just make them close together you know so without caring about decision boundaries we just want them to be close to each other and we want them to be far apart from other classes if that happens you can see that a linear classifier is going to have a very easy time separating these classes later so that's exactly what this paper does it has a