From the course: Process Documents with Azure AI Document Intelligence
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Challenge: Creating a custom model
From the course: Process Documents with Azure AI Document Intelligence
Challenge: Creating a custom model
(upbeat music) - [Instructor] So it's time for a challenge to put our knowledge to the test. You'll create your own custom model using the Covid Consent forms we have used as an example in the previous videos. The exercise files and solutions can be found in the exercise folder of the GitHub repository. Here are the instructions for the exercise. You should create an Azure AI Document Intelligence Resource, and then create an Azure Storage account, and store the training data in a Blob Container. You'll then create a custom model project, and then label the documents to capture the following information. The full name, which would include the last, middle, and first names. Date of birth, age, home address, city, state, zip, and phone number. Date of signature, and if the person received a vaccine, the manufacturer of the vaccine, and the receive date. You'll train a custom neural model using the files inside the training data folder. You should verify the results of the model using…
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Custom model definition4m 35s
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Setup a custom model via Document Intelligence Studio8m 41s
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Custom models via REST API and Python SDK3m 42s
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Composed model definition5m 52s
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Custom classification models definition9m 10s
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Challenge: Creating a custom model2m 13s
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Solution: Creating a custom model3m 15s
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