In this chapter, we covered various topics related to video classification. We saw how to split videos into frames and use the deep learning models that are in images for various tasks. We covered a few algorithms that are specific to video, such as tracking objects. We saw how to apply video-based solutions to various scenarios such as action recognition, gesture recognition, security applications, and intrusion detection.
In the next chapter, we will learn how to deploy the trained models from the previous chapter into production on various cloud and mobile platforms. We will see how different hardware affects the performance regarding latency and throughput.
