Machine Learning for Mobile

Summary

In this chapter, we learned about Fritz, an end-to-end platform that enables us to create machine learning applications. We also looked at pre-built ML models and how to use custom models in Fritz. Then, we explored how we can implement Fritz in Core ML in iOS and Android. Finally, we created two applications using the Fritz library: one using a pre-built fritz model, and the other using a Core ML model for iOS. In the next chapter, we will learn about neural networks and their uses for mobile applications and machine learning.