Summary

In this chapter, we discussed object detection and image segmentation. We started with the one-shot detection algorithm, YOLO, and then we continued with the two-stage Faster R-CNN algorithm. Next, we discussed the semantic segmentation network architecture, U-Net. Finally, we talked about Mask R-CNN—an extension of Faster R-CNN for instance segmentation. 

In the next chapter, we'll explore new types of ML algorithms called generative models. We can use them to generate new content, such as images. Stay tuned—it will be fun!

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