- [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, …
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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iOS App Development: Core ML
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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: Core ML overview