Computer vision

In this section we'll look at the ways in which CNN architecture can be utilized when applied to the area of imagine processing, and the interesting results that can be generated.

Composing CNNs for complex tasks

We have discussed CNNs quite extensively in the previous chapter, 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 in the following diagram and show how they can be solved by composing CNNs into larger and more complex architectures:

Figure 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...