Summary

In this chapter, we have learned how to build a simple neural network in the most basic way and convert that to a PyTorch's way. The basic building block of deep learning starts here. Once we know how and why the methodology we follow exists, we'll be able to take the big steps. Any deep learning model, regardless of the size, usage, or algorithm, can be built with the concepts we have learned in this chapter. Because of that, understanding this chapter thoroughly is critical for going through future chapters. In the next chapter, we will dive into the deep learning workflow.