In the previous chapters, we have been through the essential concepts and have set up tools that are required for us to get our journey into Artificial Intelligence (AI) started. We also built a small prediction app to get our feet wet with the tools we will be using.

In this chapter, we are going to cover a more interesting and popular application of AI – Computer Vision, or Machine Vision. We will start by continuing from the previous chapter and ease into building convolutional neural networks (CNN), the most popular neural network type for Computer Vision. This chapter will also cover the essential concepts that were promised in Chapter 1, Artificial Intelligence Concepts and Fundamentals, but, in contrast, this chapter will have a very hands-on approach.

We will be covering the following topics in the chapter:

• Building a feedforward neural network to recognize handwritten digits
• Remaining concepts of neural networks
• Building a deeper neural network
• Introduction to computer vision