- [Instructor] We just learned how to create a … natural language understanding model in Xcode Playgrounds. … We can also create a visual recognition model as well. … If we look in our exercise folders, … under Core ML Collateral, we can see we have … a visual recognition images folder. … And under this, there are two folders: training and test. … So under training, there are three folders … for the three different types of trees … that we want to train it to be able to recognize. … And under test is the same three folders, and these three … folders are different pictures of the same types of trees. … So first we're going to train the model using the first folder, … and we're going to test to see how accurate it is … using the second. … So we're going to go into Xcode … and we're going to get started with the new playground. … We're going to make sure that the type of playground is Mac OS, … and we'll use the blank one. … And we'll call this Visual Recognition. … And we'll press create, …
- 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
Xamarin and Android Studio: Material Designwith Kevin Ford1h 47m Intermediate
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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