From 81c92474551f0042ba81438e8631d5ce529b1915 Mon Sep 17 00:00:00 2001 From: Riddhi Goswami Date: Sun, 25 Jan 2026 11:26:48 +0400 Subject: [PATCH] Updating links --- guide/14-deep-learning/add_model_using_model_extension.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/guide/14-deep-learning/add_model_using_model_extension.ipynb b/guide/14-deep-learning/add_model_using_model_extension.ipynb index 6ae36f65ec..d38cfd47f8 100644 --- a/guide/14-deep-learning/add_model_using_model_extension.ipynb +++ b/guide/14-deep-learning/add_model_using_model_extension.ipynb @@ -608,7 +608,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "From here, we can continue with the usual workflow of using an `arcgis.learn` deep learning model. Refer to the [Detecting Swimming Pools using Deep Learning sample](https://developers.arcgis.com/python/sample-notebooks/detecting-swimming-pools-using-satellite-image-and-deep-learning/) sample notebook to see the workflow for an **object detection** model and the [Land Cover Classification using Satellite Imagery and Deep Learning](https://developers.arcgis.com/python/sample-notebooks/land-cover-classification-using-unet/) sample notebook for the workflow for a **pixel classification** model." + "From here, we can continue with the usual workflow of using an `arcgis.learn` deep learning model. Refer to the [Detecting Swimming Pools using Deep Learning sample](https://developers.arcgis.com/python/samples/detecting-swimming-pools-using-satellite-image-and-deep-learning/) sample notebook to see the workflow for an **object detection** model and the [Land Cover Classification using Satellite Imagery and Deep Learning](https://developers.arcgis.com/python/samples/land-cover-classification-using-unet/) sample notebook for the workflow for a **pixel classification** model." ] }, {