Summary

In this chapter, we discussed the terms AI, ML, and DL. We uncovered some advantages of ML and DL. At the same time, we learned the basic steps for developing and training ML models. Finally, we learned why we need large-scale training data.

In the next chapter, we will discover the main issues with annotating large-scale datasets. This will give us a good understanding of why synthetic data is the future of ML!