Core ML Survival Guide: More than you ever wanted to know about mlmodel files and the Core ML and Vision APIs

Core ML Survival Guide: More than you ever wanted to know about mlmodel files and the Core ML and Vision APIs

Core ML has made it easier than ever to add machine learning to your iOS and macOS apps. Drag-and-drop an mlmodel file into your Xcode project, literally write two lines of code, and you’re done!

There are lots of tutorials that show how to get started with Core ML, but they only cover the very basics.

• What if you want to do something more advanced?
• What if you run into problems?
• Where do you get Core ML models to begin with anyway?

Core ML may appear easy-to-use at first — but if you want to go beyond the basics, the learning curve suddenly becomes very steep. My goal with this book is to make the advanced features of Core ML accessible to everyone too.

I do machine learning on mobile for a living and I’ve been working with Core ML since it first came out. Every time I ran into a problem, I put the solution into a notes file. From posts on Stack Overflow, the Apple Developer Forums, and emails I receive from readers of my blog, it’s clear that other people are running into the same problems. So I collected my notes, cleaned them up, and put them into this book.

The Core ML Survival Guide contains pretty much everything I know about Core ML. With this book I hope to save you some time from having to figure out this stuff by yourself.