## How to use, implement, and evaluate support vector machines (SVM) in TensorFlow

The following areas will be covered:

- Introduction
- Working with a Linear SVM

Support vector machines are a method of binary classification. The basic idea is to find a linear separating line (or hyperplane) between the two classes. We first assume that the binary class targets are -1 or 1 , instead of the prior 0 or 1 targets. Since there may be many lines that separate two classes, we define the best linear separator that maximizes the distance between both classes.