Summary

In this chapter, we have seen many applications of CNNs across very different domains, from traditional image processing and computer vision to close-enough video processing, not-so-close audio processing, and text processing. In just a few years, CNNs have taken machine learning by storm.

Nowadays, it is not uncommon to see multimodal processing, where text, images, audio, and videos are considered together to achieve better performance, frequently by means of combining CNNs together with a bunch of other techniques such as RNNs and reinforcement learning. Of course, there is much more to consider, and CNNs have recently been applied to many other domains such as genetic inference [13], which are, at least at first glance, far away from the original scope of their design.