add new sample and guide entries

Author: jyaistMap

guide/02-api-overview/release_notes_210.ipynb

@@ -1,6 +1,7 @@
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@@ -20,9 +21,33 @@
     "### [Guides](../)\n",
     "* [Install and Setup](../guide/install-and-set-up/)\n",
     "  * Adds [`Install in Google Collab`](../guide/install-and-set-up/#install-in-google-colaboratory) section\n",
-    "\n",
+    "* [Deep Learning with ArcGIS])(../guide/)\n",
+    "  * [2d Computer Vision](../guide)\n",
+    "    * [How PSETAE works](../guide/how-PSETAE-works)\n",
+    "  \n",
     "### [Samples](/python/samples/)\n",
-    "\n",
+    "* [GIS analysts and data sciencists](/python/samples)\n",
+    "  * [Tonga Volcano Eruption - SO2 Analysis](/python/samples/tonga-volcano-eruption-2022)\n",
+    "* [Advanced Machine Learning](/python/samples)\n",
+    "  * [2d Computer Vision](/python/samples)\n",
+    "    * [Object Detection](/python/samples)\n",
+    "      * [Detecting Palm Trees using Deep Learning](/python/samples/detecting-palm-trees-using-deep-learning)\n",
+    "      * [Detecting Swimming Pools using Automated Deep Learning](/python/samples/detecting-swimming-pools-using-automated-machine-learning)\n",
+    "    * [Feature Extraction](/python/samples)\n",
+    "      * [Streams extraction using deep learning](/python/samples/streams-extraction-using-deeplearning)\n",
+    "      * [Extracting features and Land Use Land Cover using Panoptic Segmentation ](/python/samples/extracting0-features-and-land-use-land-cover-using-panoptic-segmentation)\n",
+    "      * [Coastline extraction using Landsat-8 multispectral imagery and band ratio technique](/python/samples/coastline-extraction-usa-landsat8-multispectral-imagery)\n",
+    "    * [Object Classification](/python/samples)\n",
+    "      * [Traffic Light Detection in Oriented Imagery Using ArcGIS Pretrained Model](/python/samples/traffic-light-detection-on-oriented-imagery)\n",
+    "    * [Generative Models](/python/samples)\n",
+    "      * [Generating Land Surface Temperature from multispectral imagery using Pix2Pix](/python/samples/generating-lst-from-multispectral-imagery-using-pix2pix)\n",
+    "      * [Generating cloud masks from satellite imagery - Part I ](/python/samples/cloud-detector-part1-cloudless-sentinel-&-unsupervised)\n",
+    "    * [Other Imagery Use Cases](/python/samples)\n",
+    "      * [Flood inundation mapping and monitoring using SAR data and deep learning](/python/samples/flood-inundation-mapping-using-sar-data-and-deep-learning)\n",
+    "      * [Cloud removal using pre-trained deep learning model and raster function](/python/samples/cloud-removal-using-pre-trained-deep-learning-model-and-raster-function)\n",
+    "      * [Property Valuation in King County USA using AutoML and Geoenriched data](/python/samples/Property-Valuation-in-King-County-USA-using-AUTOML-and-Geo-enriched-data)\n",
+    "* [Content Publishers](/python/samples)\n",
+    "  * [Publishing and Consuming OGC Services](/python/samples/publish-ogc-services)\n",
     "\n",
     "### Module Changes\n",
     "\n",