- 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
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
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.