eastgateMark

The classification rule is that y = +1 if an only if x1 = x2, where the features are just ±1. if **and** only if

> But introducing a non-linearity at inner layers, this will give us non-linear decision boundaires. boundaries

>If I give you a data set and hyperplane that separates itthen the margin is the distance between the hyperplane and the nearest point. itthen

> I then give you a query example and you have to guess it’s label. It’s/its

> Unfortunately, it’s nearest neighbor happens to be negative. it’s/its