Computer vision beyond classification
As we have seen, there are many techniques that we can use to make our image classifier work better. These are techniques that you'll find used throughout this book, and not only for computer vision applications.
In this final section of the chapter, we will discuss some approaches that go beyond classifying images. These tasks often require more creative use of neural networks than what we've discussed throughout this chapter.
To get the most out of this section, you don't need to worry too much about the details of the techniques presented, but instead look at how researchers were creative about using neural networks. We're taking this approach because you will often find that the tasks you are looking to solve require similar creativity.
Facial recognition
Facial recognition has many applications for retail institutions. For instance, if you're in the front office, you might want to automatically recognize your customer at an ATM, or alternatively, you...
