- [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. …
Author
Released
3/21/2019- 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
Duration
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Introduction
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What you should know1m 1s
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Using the exercise files2m 36s
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1. Introduction to Machine Learning
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What is machine learning?2m 27s
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Required concepts2m 53s
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Training a model2m 14s
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ML frameworks2m 56s
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2. Server Models: IBM Watson
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Overview of Watson2m 1s
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Visual Recognition: Set up1m 41s
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Create a custom model3m 37s
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Install client SDK package3m 45s
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Run the client app3m 27s
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3. Server Models: Azure Machine Learning
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Custom Vision: Set up4m 25s
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Install client SDK package2m 27s
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Client tie to LUIS5m 16s
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Run the clent app2m 12s
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4. Client Models: Core ML
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Core ML overview2m 10s
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Run the client app1m 45s
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5. Understanding the Offerings
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Conclusion
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Next steps1m 40s
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Video: Visual Recognition: Set up