This chapter will cover some important recipes regarding how to use, implement, and evaluate Support Vector Machines (SVM) in TensorFlow. The following areas will be covered:
- Working with a linear SVM
- Reduction to linear regression
- Working with kernels in TensorFlow
- Implementing a non-linear SVM
- Implementing a multi-class SVM