Mastering iOS 14 Programming - Fourth Edition by Mario Eguiluz Alebicto

Author:Mario Eguiluz Alebicto
Language: eng
Format: epub
Publisher: Packt Publishing Pvt. Ltd.
Published: 2021-03-19T00:00:00+00:00

Figure 10.4 – Photo analysis result

In the next section, you will learn how to train models for purposes that are specific to you and your apps by using Create ML.

Training your own models with Create ML

As part of Xcode 10 and Apple's version of macOS, Mojave, they have shipped a tool that you can use to train your own machine learning models by adding specializations to existing models. This means that you can train your own natural language model that places certain texts in categories that you define. Or, you can train a model that recognizes certain product names or terms in a text that are specific to your application's domain.

If you're building a news app, you might want to train a Core ML model that can automatically categorize the articles in the app. You can then use this model to keep track of the articles your users read, and present articles that are most likely to fit their interests on a dedicated page in your app.

In this segment, you will learn how to train natural language models and how you can train an image recognition model based on the Vision framework. In doing so, you will find that creating a large and optimized training set is crucial when you want to train a machine learning model.

In the code bundle for this chapter, you will find a Playground called Create ML. This playground contains all the resources used for training natural language models.

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