Address feedback.

Author: davidbritch

articles/ai-services/custom-vision-service/index.yml

@@ -17,7 +17,7 @@ metadata:
 landingContent:
 # Cards and links should be based on top customer tasks or top subjects
 # Start card title with a verb
-  # Card 
+  # Card
   - title: About Custom Vision
     linkLists:
       - linkListType: overview
@@ -61,10 +61,6 @@ landingContent:
         links:
           - text: Use the prediction API
             url: use-prediction-api.md
-      - linkListType: tutorial
-        links:
-          - text: Logo detector for mobile
-            url: logo-detector-mobile.md
 
   - title: Test and improve models
     linkLists:
@@ -89,12 +85,6 @@ landingContent:
             url: custom-vision-onnx-windows-ml.md
           - text: Run TensorFlow model in Python
             url: export-model-python.md
-      - linkListType: tutorial
-        links:
-          #- text: IoT Visual Alerts app
-          #  url: iot-visual-alerts-tutorial.md
-          - text: Logo detector for mobile
-            url: logo-detector-mobile.md
 
   - title: Reference
     linkLists:

articles/ai-services/custom-vision-service/overview.md

@@ -28,7 +28,6 @@ You can use Custom Vision through a client library SDK, REST API, or through the
 This documentation contains the following types of articles:
 * The [quickstarts](./getting-started-build-a-classifier.md) are step-by-step instructions that let you make calls to the service and get results in a short period of time.
 * The [how-to guides](./test-your-model.md) contain instructions for using the service in more specific or customized ways.
-* The [tutorials](./logo-detector-mobile.md) are longer guides that show you how to use this service as a component in broader business solutions.
 <!--* The [conceptual articles](Vision-API-How-to-Topics/call-read-api.md) provide in-depth explanations of the service's functionality and features.-->
 
 For a more structured approach, follow a **Training module** for Custom Vision: