From the course: Machine Learning in Mobile Applications
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Visual Recognition: Train the model - Xamarin Tutorial
From the course: Machine Learning in Mobile Applications
Visual Recognition: Train the model
- [Speaker] To train our visual recognition model with Watson, we're going to use the curl command in the Terminal Window. So we'll start by typing in curl and give it a user and the user is going to use an API key. So API key and colon and we can get the API key in the Watson service we just created. So I'm going to click on manage, and when this refreshes we have the API key and I'm going to copy that to the clipboard and paste that into the terminal window and we'll close the quotes and then we will give it some form data and the form data is going to have our files that we want to upload. So form and the form data is going to be our maple tree positive examples and we're going to say that's equal to, we use the "@", which is telling it that it's going to grab a file and we're going to grab that other users and right off my desktop and under exercise files and IBM Watson Collateral and our maple tree zip and we'll close the quotes and I'm going to grab and copy that and put a space…
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Contents
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Overview of Watson2m 1s
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Natural Language Understanding: Set up2m 15s
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Natural Language Understanding: Train the model5m 32s
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Visual Recognition: Set up1m 41s
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Visual Recognition: Train the model5m 39s
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Create a custom model3m 37s
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Train and deploy a custom model4m 2s
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Install client SDK package3m 45s
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Client tie to Natural Language6m 49s
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Client tie to Visual Recognition call setup7m
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Client tie to Visual Recognition response5m 26s
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Client tie to custom model: Get an access token6m 4s
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Client tie to call custom model service8m 44s
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Client tie to get custom model response2m 59s
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Run the client app3m 27s
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