From the course: Machine Learning in Mobile Applications
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Language Understanding: Utterances - Xamarin Tutorial
From the course: Machine Learning in Mobile Applications
Language Understanding: Utterances
- [Instructor] With the intent set up in our LUIS app, we are ready to import a list of utterances to train our model. Like our intents, we could type them in manually through the portal, but it'd be much easier for us to upload them all as one file. Now, if you look under Exercise Files on the desktop and go to Azure Collateral, you'll see there's a file called natural_language_trainer.json I'm going to right click on that and we're going to open it up with Text Edit. And here we can see it's just a simple array of two items, text and the text is the name of the utterance or at least the text of the utterance. And the other is the intent name and this ties it to one of those intents we just created. So this is the file we're going to use to input our utterances into our LUIS Model. So, to do this, we're going to go back to our terminal window. So, in our terminal window, the easiest way to put in this command is just to hit the up arrow to get back the same command we used for our…
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Contents
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Azure Machine Learning overview2m 28s
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Language Understanding: Set up2m 51s
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Language Understanding: Intents4m 27s
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Language Understanding: Utterances4m 1s
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Custom Vision: Set up4m 25s
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Machine Learning Studio: Set up4m 46s
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Machine Learning Studio: Create model3m 53s
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Machine Learning Studio: Publish model3m 33s
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Install client SDK package2m 27s
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Client tie to LUIS5m 16s
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Client tie to Custom Vision model5m 24s
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Client tie to custom model4m 4s
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Client tie to custom model: Set up request6m 22s
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Client tie to custom model: Make the call8m 28s
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Run the clent app2m 12s
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