In this chapter, we learned about the object localization problem, as well as how to label the data along and modify the network layer of the neural network to fit this problem. We detected objects using the sliding window solution and the convolutional window technique. Lastly, we delved into the state-of-the-art YOLO algorithm, that overcomes all the downsides of the older techniques. 

In the next chapter, we'll create art with a neural style transfer.