- [Instructor] We're now going … to use Watson's image recognition service. … We start in the IBM Watson portal … and click on the hamburger menu. … And go down to Watson, … and browse all Watson's services. … From there we want to create a service … called Visual Recognition. … So I'm going to click on this box here … and create the Visual Recognition service. … And I'm going to change the name … to LinkedInVisualRecognition. … And I'm going to leave the region here as Dallas. … And I'm going to make sure … that we have the free Lite version selected. … And when I'm ready to go, I'm going to press Create. … And that's going to create a new service for us. … Out of the box, … Watson's Visual Recognition Service can detect … many common items and images. … It also has several built-in items … they refer to as classifiers. … A classifier is part of the model … that is trained to detect certain types of images … such as faces. … We're going to create a classifier of our own, … and that's what we're going to do now. …
- Defining machine learning
- Training a machine learning model
- Comparing machine learning frameworks
- Using IBM Watson for mobile machine learning
- Using Azure Machine Learning for speech and image recognition
- Training Core ML models
- Comparing client-side and server-side models
Skill Level Beginner
Machine Learning for iOS Developerswith Brian Advent1h 25m Advanced
1. Introduction to Machine Learning
2. Server Models: IBM Watson
3. Server Models: Azure Machine Learning
4. Client Models: Core ML
5. Understanding the Offerings
Next steps1m 40s
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