October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Core ML on an iOS app
Integrating Core ML on an iOS app is pretty straightforward. Go and download pre-trained models from the Apple developer page. Download MobileNet model from there.
After you download MobileNet.mlmodel, add it to the Resources group in your project. The vision framework eases our problems by converting our existing image formats into acceptable input types. You can see the details of your model as shown in the following screenshot. In the upcoming chapters, we will start creating our own models on top of existing models.
Let's look at how to load the model into our application:
Open ViewController.swift in your recently ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.