updates_

Shivani Pathak · Shivani Pathak · commit d7b8d4e05722 · 2022-02-11T12:00:43.000+05:30
diff --git a/samples/04_gis_analysts_data_scientists/lunar_craters_detection_from_dem_using_deep_learning.ipynb b/samples/04_gis_analysts_data_scientists/lunar_craters_detection_from_dem_using_deep_learning.ipynb
@@ -1109,7 +1109,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "After we trained the `MaskRCNN` model and saved the weights for detect craters masks using the [Detect Objects Using Deep Learning](https://pro.arcgis.com/en/pro-app/latest/tool-reference/image-analyst/detect-objects-using-deep-learning.htm) tool available in [ArcGIS Pro](https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview), or [ArcGIS Image Server](https://www.esri.com/en-us/arcgis/products/arcgis-image/options/arcgis-image-server?rsource=https%3A%2F%2Fwww.esri.com%2Fen-us%2Farcgis%2Fproducts%2Farcgis-image-server)."
+    "After training the `MaskRCNN` model and saving the weights of the detected crater masks, we can use the [Detect Objects Using Deep Learning](https://pro.arcgis.com/en/pro-app/latest/tool-reference/image-analyst/detect-objects-using-deep-learning.htm) tool available in [ArcGIS Pro](https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview) and [ArcGIS Image Server](https://www.esri.com/en-us/arcgis/products/arcgis-image/options/arcgis-image-server?rsource=https%3A%2F%2Fwww.esri.com%2Fen-us%2Farcgis%2Fproducts%2Farcgis-image-server)."
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -1109,7 +1109,7 @@`
`1109`	`1109`	`"cell_type": "markdown",`
`1110`	`1110`	`"metadata": {},`
`1111`	`1111`	`"source": [`
`1112`		- "After we trained the `MaskRCNN` model and saved the weights for detect craters masks using the [Detect Objects Using Deep Learning](https://pro.arcgis.com/en/pro-app/latest/tool-reference/image-analyst/detect-objects-using-deep-learning.htm) tool available in [ArcGIS Pro](https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview), or [ArcGIS Image Server](https://www.esri.com/en-us/arcgis/products/arcgis-image/options/arcgis-image-server?rsource=https%3A%2F%2Fwww.esri.com%2Fen-us%2Farcgis%2Fproducts%2Farcgis-image-server)."
	`1112`	+ "After training the `MaskRCNN` model and saving the weights of the detected crater masks, we can use the [Detect Objects Using Deep Learning](https://pro.arcgis.com/en/pro-app/latest/tool-reference/image-analyst/detect-objects-using-deep-learning.htm) tool available in [ArcGIS Pro](https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview) and [ArcGIS Image Server](https://www.esri.com/en-us/arcgis/products/arcgis-image/options/arcgis-image-server?rsource=https%3A%2F%2Fwww.esri.com%2Fen-us%2Farcgis%2Fproducts%2Farcgis-image-server)."
`1113`	`1113`	`]`
`1114`	`1114`	`},`
`1115`	`1115`	`{`