June 2018
Intermediate to advanced
378 pages
8h 43m
English
Content preview from Machine Learning with Core ML
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Recognizing Objects in the World
In this chapter, we will immerse ourselves in the world of machine learning (ML) and Core ML by working through what could be considered the 101 Core ML application. We will be using an image classification model to allow the user to point their iPhone at anything and have the app classify the most dominant object in the view.
We will start off by first discussing the concept of convolutional neural networks (ConvNets or CNNs), a category of neural networks well suited to image classification, before jumping into implementation. Starting from a skeleton project, you will soon discover just how easy it is to integrate ML into your apps with the help of Core ML.
In this chapter, we will cover the following ...
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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.