- 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 …
- 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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