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Merge pull request #1430 from Additi/patch-22
Update custom-model.md neural update
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articles/ai-services/document-intelligence/train/custom-model.md

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@@ -47,7 +47,7 @@ To create a custom extraction model, label a dataset of documents with the value
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> [!IMPORTANT]
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> Document Intelligence `v4.0 2024-11-30 (GA)` API supports custom neural model **overlapping fields** and **table, row and cell level confidence**.
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> Document Intelligence `v4.0 2024-11-30 (GA)` API supports custom neural model **overlapping fields**, **signature detection** and **table, row and cell level confidence**.
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The custom neural (custom document) model uses deep learning models and base model trained on a large collection of documents. This model is then fine-tuned or adapted to your data when you train the model with a labeled dataset. Custom neural models support extracting key data fields from structured, semi-structured, and unstructured documents. When you're choosing between the two model types, start with a neural model to determine if it meets your functional needs. See [neural models](custom-neural.md) to learn more about custom document models.
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|Model| Form fields | Selection marks | Structured fields (Tables) | Signature | Region labeling | Overlapping fields |
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|--|:--:|:--:|:--:|:--:|:--:|:--:|
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|Custom template|||||| **n/a** |
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|Custom neural|||| **n/a** | * ||
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|Custom neural|||| | * ||
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**Table symbols**:<br>
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✔—Supported<br>

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