Practical Machine Learning for iOS

This post serves as a collection of follow-up resources for my AppBuilders 2020 talk, Practical Machine Learning for iOS. If you have any questions, feel free to reach out to me (via Twitter is preferred). 

If you want a full transcript, the script for this talk is available here as a PDF.

Here’s some useful links, roughly in the order they might interest you related to the talk:

  • CreateML โ€” Apple’s easy to use tool for creating machine learning models based on tasks
  • CoreML โ€” Apple’s framework for using machine learning models that are in the CoreML mlmodel format

Building a Sound Classifier:

Building a Caption Generator:

Some additional links that might be of interest:

And finally, we have a GitHub repository with the code that was shown in the talk, as well as the code repository for our book, Practical AI with Swift, that has a whole lot of great activities for you to use (even if you don’t have the book) across sound, vision, text, and more.