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Image Recognition on iOS With Core ML

Introduction

00:58

Machine learning is one of the hottest topics in the tech world right now. It's being used more and more widely for applications such as image, speech and gesture recognition, as well as for natural language processing. With recent advances, it's even possible to run machine learning algorithms on your mobile device.

In this course, Markus Mühlberger will show you how to put machine learning to work in iOS 11 with Apple's new Core ML library. You'll get an overview of the key machine learning algorithms along with examples of where each one can be applied. You'll learn how to import and convert publicly available models for use with Core ML, and you'll learn how to build an app that applies these models for image recognition. And as a bonus, you'll learn how to build an app that does natural language processing!

We've built a complete guide to help you learn Swift, whether you're just getting started with the basics or you want to explore more advanced topics: Learn Swift.

1.Introduction
2 lessons, 10:35

1.1
Introduction
00:58

1.2
What Are Machine Learning and Core ML?
09:37

2.Image Recognition With Core ML
3 lessons, 23:32

2.1
The Core ML Model
06:42

2.2
Using the Vision Framework for Image Recognition
12:04

2.3
Core ML With Live Video
04:46

3.Bonus: Natural Language Processing With Core ML
1 lesson, 05:58

3.1
Natural Language Processing With Core ML
05:58

4.Conclusion
1 lesson, 01:03

4.1
Conclusion
01:03