Beginning iOS 13 & Swift App Development: Develop iOS Apps with Xcode 11, Swift 5, Core ML, ARKit and more by Greg Lim

Author:Greg Lim [Lim, Greg]
Language: eng
Format: mobi
Publisher: amazon
Published: 2020-04-14T16:25:26.461000+00:00

Chapter 7: Machine Learning with Core ML 2 and Create ML

In this chapter, we will learn about Core ML and Create ML, Apple’s library to make machine learning easy for us.

Machine Learning taps on the idea that if you train a machine to do something repeatedly, it will eventually begin to make appropriate choices on its own. For example, if we show a machine thousands of pictures of cats and dogs, we eventually train the machine to be able to look at a picture and identify if it’s a cat or dog. The set of pictures which a machine is trained on is called a model. You can either create your own model or use an existing model created by others. In this chapter, we will first go through usage of a model provided by Apple called the ResNet model that identifies from an image if it is a tree, animal, kind of food and more. You can easily search for more Core ML models on GitHub. Later on in the chapter, we will teach you how to create your models with Create ML.

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