acrolinx edits

Author: PatrickFarley

articles/cognitive-services/Custom-Vision-Service/use-prediction-api.md

@@ -28,7 +28,7 @@ After you've trained your model, you can test images programmatically by submitt
 
 From the [Custom Vision web page](https://customvision.ai), select your project and then select the __Performance__ tab.
 
-To submit images to the Prediction API, you will first need to publish your iteration for prediction, which can be done by selecting __Publish__ and specifying a name for the published iteration. This will make your model accessible to the Prediction API of your Custom Vision Azure resource.
+To submit images to the Prediction API, you'll first need to publish your iteration for prediction, which can be done by selecting __Publish__ and specifying a name for the published iteration. This will make your model accessible to the Prediction API of your Custom Vision Azure resource.
 
 ![The performance tab is shown, with a red rectangle surrounding the Publish button.](./media/use-prediction-api/unpublished-iteration.png)
 
@@ -87,7 +87,7 @@ The **-WithHttpMessages** methods return the raw HTTP response of the API call.
 
 ## Get results from the service
 
-The service returns results in the form of an **[ImagePrediction](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.vision.customvision.prediction.models.imageprediction?view=azure-dotnet)** object. The **Predictions** property contains a list of **[PredictionModel](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.vision.customvision.prediction.models.predictionmodel?view=azure-dotnet)** objects, which each represent a single object prediction. They include the name of the label and the bounding box coordinates where the object was detected in the image. Your app can then parse this data to, for example, display the image with labeled object fields on a screen. 
+The service returns results in the form of an **[ImagePrediction](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.vision.customvision.prediction.models.imageprediction?view=azure-dotnet)** object. The **Predictions** property contains a list of **[PredictionModel](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.vision.customvision.prediction.models.predictionmodel?view=azure-dotnet)** objects, which each represents a single object prediction. They include the name of the label and the bounding box coordinates where the object was detected in the image. Your app can then parse this data to, for example, display the image with labeled object fields on a screen. 
 
 ## Next steps