In this chapter, we discussed the difference between training and inference, along with the typical ML workflow and where Core ML fits in. We also saw how Core ML is not just a single framework, but rather a suite of tools that facilitate getting pretrained models into the iOS platform and making them available to your application via a familiar and simple interface. Thus, it democratizes ML and puts it into the hands of many iOS app developers.
It has been suggested that the explosion in diverse apps contributed to the success of the adoption of smartphones; if this is true, then prepare yourself for the next explosion of AI-enhanced apps. And take comfort knowing that you are in the perfect place to begin and lead this journey, where we will explore many concepts and examples related to computer vision using Core ML, including these:
- Recognizing objects...
