updated with changes added since 2020-12-11

Author: jyaistMap

guide/02-api-overview/release-notes.ipynb

@@ -32,12 +32,23 @@
     "  * [Part 4 - What to enrich with? (What are Data Collections and Analysis Variables?)](https://developers.arcgis.com/python/guide/part4-what-to-enrich-datacollections-analysisvariables/)\n",
     "  * [Part 5 - Generating Reports](https://developers.arcgis.com/python/guide/part5-generate-reports/)\n",
     "  * [Part 6 - Standard Geography Queries](https://developers.arcgis.com/python/guide/part6-std-geography-query/)\n",
+    "* Data Engineering Guides\n",
+    "  * [Part 1 - Introduction to Data Engineering](https://developers.arcgis.com/python/guide/part1-introduction-to-dataengineering)\n",
+    "  * [Part 2 - Introduction to NumPy](https://developers.arcgis.com/python/guide/part2-introduction-to-numpy)\n",
+    "  * [Part 3 - Introduction to Pandas](https://developers.arcgis.com/python/guide/part3-introduction-to-pandas)\n",
+    "  * [Part 4 - Productivity with Pandas](https://developers.arcgis.com/python/guide/part4-productivity-with-pandas)\n",
+    "  * [Part 5 - Working with Time Series Data](https://developers.arcgis.com/python/guide/part5-time-series-in-pandas)\n",
     "* Install and set up\n",
     " * Reconfigures Guide into:\n",
-    "   * [`Install and set up`](https://developers.arcgis.com/python/guide/install-and-set-up/)\n",
-    "   * [`Install older versions`](https://developers.arcgis.com/python/guide/install-older-versions)\n",
+    "   * [Install and set up](https://developers.arcgis.com/python/guide/install-and-set-up/)\n",
+    "   * [Install older versions](https://developers.arcgis.com/python/guide/install-older-versions)\n",
     "* Deep Learning with ArcGIS\n",
-    "  * [Geo-Referencing and Digitization of Scanned Maps](https://developers.arcgis.com/python/guide/geo-referencing-and-digitization-of-scanned-maps.ipynb)"
+    "  * [Geo-Referencing and Digitization of Scanned Maps](https://developers.arcgis.com/python/guide/geo-referencing-and-digitization-of-scanned-maps)\n",
+    "  * [How SuperResolution Works](https://developers.arcgis.com/python/guide/how-superresolution-works)\n",
+    "  * [Text Classifiction workflow with [`arcgis.learn`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html)](https://developers.arcgis.com/python/guide/text-classfiction)\n",
+    "  * [How Multi-Task Road Extractor works](https://developers.arcgis.com/python/guide/how-multi-task-road-extractor-works)\n",
+    "  * [How Pix2Pix works](https://developers.arcgis.com/python/guide/how-pix2pix-works)\n",
+    "  * [How CycleGAN Works](https://developers.arcgis.com/python/guide/how-cyclegan-works)"
    ]
   },
   {
@@ -54,7 +65,11 @@
     " * Adds [Detection of electric utility features and vegetation encroachments from satellite images using deep learning](https://developers.arcgis.com/python/sample-notebooks/detection-of-electric-utility-features-and-vegetation-encroachments-from-satellite-images-using-deep-learning)\n",
     " * Adds [River Turbidity Estimation using Sentinel-2 data](https://developers.arcgis.com/python/sample-notebooks/river-turbidity-estimation-using-sentinel2-data-)\n",
     " * Adds [Mapping Infrastructural Damage due to Beirut Blast](https://developers.arcgis.com/python/sample-notebooks/infrastructural-damage-due-to-blast-in-beirut)\n",
-    " * Adds [Coastline extraction using Landsat-8 multispectral imagery and band ratio technique](coastline-extraction-usa-landsat8-multispectral-imagery)"
+    " * Adds [Coastline extraction using Landsat-8 multispectral imagery and band ratio technique](https://developers.arcgis.com/python/sample-notebooks/coastline-extraction-usa-landsat8-multispectral-imagery)\n",
+    " * Adds [Identifying country names from incomplete house addresses](https://developers.arcgis.com/python/sample-notebooks/identifying-country-names-from-incomplete-house-addresses)\n",
+    " * Adds [SAR to RGB image translation using CycleGAN](https://developers.arcgis.com/python/sample-notebooks/04_gis_analysts_data_scientists/sar_to_rgb_image_translation_using_cyclegan)\n",
+    " * Adds [Creating building models using point cloud classification](https://developers.arcgis.com/python/sample-notebooks/creating-buiding-models-using-point-clout-classfication)\n",
+    " * Adds [Automatic road extraction using deep learning](https://developers.arcgis.com/python/sample-notebooks/automatic-road-extraction-using-deep-learning)"
    ]
   },
   {
@@ -512,15 +527,16 @@
     " * Updates [Managing Workforce projects](https://developers.arcgis.com/python/guide/managing-workforce-projects/)\n",
     "* Deep Learning with ArcGIS\n",
     " * Updates `fastai` link with [Object Detection Workflow with `arcgis.learn`](https://developers.arcgis.com/python/guide/object-detection/)\n",
-    " * Updates to [Working with Multispectral Data](https://developers.arcgis.com/python/guide/working-with-multispectral-data/)"
+    " * Updates to [Working with Multispectral Data](https://developers.arcgis.com/python/guide/working-with-multispectral-data/)\n",
+    " * Updates to [Named Entity Extraction Workflow with [`arcgis.learn`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html)](https://developers.arcgis.com/python/guide/how-named-entitry-recognition-works)\n",
+    " * Updates to [Point Cloud Segmentation using PointCNN](https://developers.arcgis.com/python/guide/point-cloud-segmentation-using-pointcnn)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### [Samples](https://developers.arcgis.com/python/sample-notebooks/)\n",
-    "* Enhances `Deep Learning Samples` by providing training data\n",
     "* Power Users/Developers\n",
     " * Updates to various samples:\n",
     "   * [A dashboard to explore world population](https://developers.arcgis.com/python/sample-notebooks/population-exploration-dashboard/)\n",
@@ -529,7 +545,7 @@
     "   * [Raster Analytics Dashboard](https://developers.arcgis.com/python/sample-notebooks/jupyter-dashboard-for-raster-analytics/)\n",
     "   * [Building a change detection app using Jupyter Dashboard](https://developers.arcgis.com/python/sample-notebooks/building-a-change-detection-app-using-jupyter-dashboard/)\n",
     "* GIS analysts and data scientists\n",
-    " * Fixes typo for output type in [Increase Image Resolution using SuperResolution](https://developers.arcgis.com/python/sample-notebooks/increase-image-resolution-using-superresolution/)\n",
+    " * Enhances `Deep Learning Samples` by providing training data\n",
     " * Fixes typos in `sdf` field names for [Data Summarization - Construction permits near Washington DC, part 2/2](https://developers.arcgis.com/python/sample-notebooks/analyze-patterns-in-construction-permits-part2/)\n",
     " * Adds data for [Finding a New Home](https://developers.arcgis.com/python/sample-notebooks/finding-a-new-home/)\n",
     " * [Plant species identification using a TensorFlow-Lite model within mobile devices](https://developers.arcgis.com/python/sample-notebooks/train-a-tensorflow-lite-model-for-identifying-plant-species/)\n",
@@ -541,12 +557,18 @@
     " * [Automate Road Surface Investigation Using Deep Learning](https://developers.arcgis.com/python/sample-notebooks/automate-road-surface-investigation-using-deep-learning/)\n",
     "   * Adds missing inference data to the `predict` and `predict_video` functions in \n",
     "   * Removes hard-coded `lr_find()` value\n",
-    " * Fixes Table of Contents and hyperlinks in [Information extraction from Madison city crime incident reports using Deep Learning](https://developers.arcgis.com/python/sample-notebooks/information-extraction-from-madison-city-crime-incident-reports-using-deep-learning/)\n",
+    " * [Information extraction from Madison city crime incident reports using Deep Learning](https://developers.arcgis.com/python/sample-notebooks/information-extraction-from-madison-city-crime-incident-reports-using-deep-learning/)\n",
+    "   * Fixes Table of Contents and hyperlinks\n",
+    "   * Adds Save and load trained models section\n",
+    "   * Updates Prerequisites and imports\n",
     " * Updates model training data in [Automate Building Footprint Extraction using Deep learning](https://developers.arcgis.com/python/sample-notebooks/automate-building-footprint-extraction-using-instance-segmentation/)\n",
     " * Updates to organization type and data paths in [Land Cover Classification using Satellite Imagery and Deep Learning](https://developers.arcgis.com/python/sample-notebooks/land-cover-classification-using-unet/)\n",
     " * [Land cover classification using sparse training data](https://developers.arcgis.com/python/sample-notebooks/land-cover-classification-using-sparse-training-data/)\n",
     "   * Updates no data explanations\n",
-    "   * Removes data mapping"
+    "   * Removes data mapping\n",
+    " * [Increase image resolution using [`SuperResolution`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#superresolution)](https://developers.arcgis.com/python/sample-notebooks/increase-image-resolution-using-superresolution)\n",
+    "   * Changed Meta Data Format when exporting training data to `Export Tiles`\n",
+    "   * Fixes typo for output type "
    ]
   },
   {