- Now we're ready to tie in our … core ML model for visual recognition. … So to do that, we're going to go back up to the … ML sample project and open up the … visual recognition view model. … And scroll down to the get tree type A sync method. … Now there has been an interface added, … once again, to call into the IOS project … because this is going to have to happen … in the IOS project, which also means that it … cannot work in the android project. … We'd have to come up with … some other implementation for that. … So, we're going to use the dependency service. … So, we'll go var visual recognition … equals dependency service dot Get … and the type of the interface … that's pre created for us is I Visual Recognition. … And then we'll set the return value … to visual recognition dot get tree type … and we'll pass in the binary reader. … This is being passed into this method. … Also, the byte length and the file name. … And put a semi colon at the end. … And now we're going to go to the IOS project …
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: Client tie to Visual Recognition model