In this chapter, we learned a lot of concepts. I recommend going through the chapter again if needed because the topics in this chapter are very important to gaining a deep understanding of deep learning. Many of you may be wondering what the chapters you have learned so far have to do with neural networks; we will tie it all together in a couple more chapters.
The next chapter focuses on both convex and non-convex optimization methods and builds the foundation for understanding the optimization algorithms used in training neural networks.
