By now you should have an understanding of the theory of linear models and neural networks, as well as a knowledge of the fundamentals of PyTorch. In this chapter, we will be putting all this together by implementing some ANNs in PyTorch. We will focus on the implementation of linear models, and show how they can be adapted to perform multi-class classification. We will discuss the following topics in relation to PyTorch:
- autograd
- Computational graphs
- Linear regression
- Logistic regression
- Multi-class classification