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updated with all closed PRs for 1.8.4. milestong
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guide/02-api-overview/release-notes.ipynb

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"# What's new in version 1.8.4"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## New"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### [`Guides`](https://developers.arcgis.com/python/guide/)\n",
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"* [Managing ArcGIS Applications](https://developers.arcgis.com/python/guide/)\n",
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" * [Authoring ArcGIS Dashboards using [`arcgis.apps.dashboard`](https://developers.arcgis.com/python/api-reference/arcgis.apps.dashboard.html)](https://developers.arcgis.com/python/guide/authoring-arcgis-dashboards)\n",
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"* [Deep Learning with ArcGIS](https://developers.arcgis.com/python/guide/)\n",
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" * [How ChangeDetection Works?](https://developers.arcgis.com/python/guide/how-change-detection-works)\n",
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" * [Inference only Text Models in [`arcgis.learn`](https://developers.arcgis.com/python/api-reference/arcgis.learn.toc.html)](https://developers.arcgis.com/python/guide/inference-only-text-models-in-arcgis-learn)\n",
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" * [Retraining Windows and Doors Extraction model](https://developers.arcgis.com/python/guide/retraining-windows-doors-extraction-model)\n",
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" * [Unsupervised Machine learning using arcgis.learn guide](https://developers.arcgis.com/python/guide/unsupervised-ml-model-guide)\n",
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" * [YOLOv3 Object Detector](https://developers.arcgis.com/python/guide/yolov3-object-detector)\n",
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" * [Faster R-CNN Object Detector](https://developers.arcgis.com/python/guide/faster-rcnn-object-detector)\n",
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" * [Edge Detection with [`arcgis.learn`](https://developers.arcgis.com/python/api-reference/arcgis.learn.toc.html#)](https://developers.arcgis.com/python/guide/edge-detection-with-arcgis-learn)\n",
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" * [Image Captioning](https://developers.arcgis.com/python/guide/how-image-captioning-works)\n",
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" * [How SequenceToSequence Works](https://developers.arcgis.com/python/guide/how-sequencetosequence-works)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### [`Samples`](https://developers.arcgis.com/python/sample-notebooks/)\n",
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"* GIS Analysts and Data Scientists\n",
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" * [Translating Story Map from one language to another using Deep Learning](https://developers.arcgis.com/sample-notebooks/translating-story-map-from-one-language-to-another)\n",
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" * [Generating rgb imagery from digital surface model using Pix2Pix](https://developers.arcgis.com/sample-notebooks/generating-rgb-imagery-from-digital-surface-model-using-pix2pix)\n",
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" * [Change Detection of Buildings from Satellite Imagery](https://developers.arcgis.com/sample-notebooks/change-detection-of-buildings-from-satellite-imagery)\n",
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" * [Land Parcel Extraction using Edge Detection model ](https://developers.arcgis.com/sample-notebooks/land-parcel-extraction-using-edge-detection-deep-learning-model)\n",
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" * [Address Correction and Standardization using SequenceToSequence model](https://developers.arcgis.com/sample-notebooks/address-standardization-and-correction-with-sequencetosequence)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Fixes"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### [`Guides`](https://developers.arcgis.com/python/guide)\n",
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"* [Deep Learning with ArcGIS](https://developers.arcgis.com/python/guide)\n",
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" * Updates guides with `PointRend` enhancement\n",
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" * [How PSPNet works?](https://developers.arcgis.com/python/guide/how-pspnet-works/)\n",
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" * [How MaskRCNN works?](https://developers.arcgis.com/python/guide/how-maskrcnn-works/)\n",
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" * [How DeepLabV3 Works](https://developers.arcgis.com/python/guide/how-deeplabv3-works/)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### [`Samples`](https://developers.arcgis.com/python/sample-notebooks/)\n",
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"* GIS Analysts and Data Scientists\n",
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" * Updates `Try-It-Live` functionality\n",
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" * [Reconstructing 3D buildings from Aerial LiDAR with Deep Learning](https://developers.arcgis.com/python/sample-notebooks/building-reconstruction-using-mask-rcnn/)\n",
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" * [Land cover classfication using sparse training data](https://developers.arcgis.com/python/sample-notebooks/land-cover-classification-using-sparse-training-data/)\n",
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" * [Feature Categorization using Satellite Imagery and Deep Learning](https://developers.arcgis.com/python/sample-notebooks/feature-categorization-using-satellite-imagery-and-deep-learning/)\n",
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" * [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",
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" * Updates samples to correct data paths when `.` in paths\n",
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" * [Extracting Building Footprints From Drone Data\n",
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"](https://developers.arcgis.com/python/sample-notebooks/extracting-building-footprints-from-drone-data/)\n",
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" * [Increase Image Resolution using [`SuperResolution`](https://developers.arcgis.com/python/api-reference/arcgis.learn.toc.html#superresolution)](https://developers.arcgis.com/python/sample-notebooks/increase-image-resolution-using-superresolution/)\n",
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" * [Shipwrecks detection using bathymetric data](https://developers.arcgis.com/python/sample-notebooks/shipwrecks-detection-using-bathymetric-data/)\n",
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"* Power Users/Developers\n",
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" * Updates samples that were missing maps in visualization sections\n",
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" * [Building a change detection app using Jupyter Dashboard](https://developers.arcgis.com/python/sample-notebooks/building-a-change-detection-app-using-jupyter-dashboard/)\n",

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