February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Understanding mobile platform limitations
Now, if I have persuaded you to use ML on mobile devices, you should be aware of some limitations:
- Computation complexity restriction. The more you load your CPU, the faster your battery will die. It's easy to transform your iPhone into a compact heater with the help of some ML algorithms.
- Some models take a long time to train. On the server, you can let your neural networks train for weeks; but on a mobile device, even minutes are too long. iOS applications can run and process some data in background mode if they have some good reasons, like playing music. Unfortunately, ML is not on the list of good reasons, so most probably, you will not be able to run it in background mode.
- Some models take a ...
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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.