In this chapter, we learned about deep learning and its relationship to machine learning and AI. We looked at the basic concepts behind deep learning and how to train a neural network using gradient descent. We then talked about CNTK, what it is, and what features the library offers to build deep learning models. We finally spent some time discussing how to install CNTK on Windows and Linux and how to use your GPU should you want to.
In the next chapter, we will learn how to build basic neural networks with CNTK so we get a better understanding of how the concepts in this chapter work in code. We will also discuss the different ways we can use various components in our deep learning model for different scenarios.
