Composing CNNs for complex tasks

We have discussed CNNs quite extensively in Chapter 3, Convolutional Neural Networks, and at this point, you are probably convinced about the effectiveness of the CNN architecture for image classification tasks. What you may find surprising, however, is that the basic CNN architecture can be composed and extended in various ways to solve a variety of more complex tasks. In this section, we will look at the computer vision tasks mentioned in Figure 20.1 and show how they can be solved by turning CNNs into larger and more complex architectures.

Figure 20.1: Different Computer Vision Tasks – source: Introduction to Artificial Intelligence and Computer Vision Revolution (https://www.slideshare.net/darian_f/introduction-to-the-artificial-intelligence-and-computer-vision-revolution)

Classification and localization

In the classification and localization task, not only do you have to report the class of object found in the image, but...