From the course: Machine Learning in Mobile Applications
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Core ML overview - Xamarin Tutorial
From the course: Machine Learning in Mobile Applications
Core ML overview
- [Instructor] Core ML was released with iOS 11 in September of 2017 as Apple's first foray into allowing client-side machine learning in iOS. In normal Apple fashion, Core ML is baked right into iOS, but only iOS. It cannot be used in a competing platforms application like an Android app. Models initially could only be built elsewhere, imported and used in an app. For example, a cafe model could be created server-side, and then used with Core ML. With the release of Core ML 2, Apple has included some limited ability to create Core ML-specific models in OS 10. If the model needs reinforcement learning, that would need to happen server-side in an updated model redeployed in a new version of the application. With the release of iOS 12 in September of 2018, Apple updated Core ML as well. One of the largest enhancements was the ability to create our own Core Machine Learning models directly. The types of models that we can create are image classification, natural language recognition, and…
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Core ML overview2m 10s
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Core ML: Create Natural Language model6m 22s
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Core ML: Create Visual Recognition model3m 22s
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Client tie to Natural Language model5m 53s
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Client tie to Visual Recognition model4m 14s
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Client tie to Visual Recognition: Converting model2m 14s
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Run the client app1m 45s
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