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updated release notes for 1.8.2
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guide/02-api-overview/release-notes.ipynb

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"# What's new in version 1.8.2"
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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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"cell_type": "markdown",
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"#### [`arcgis.learn`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#)\n",
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"- adds denormalization while inferencing on ArcGIS\n",
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"- adds normalization in labels with [`prepare_data()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#prepare-data)\n",
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"- adds ability to load `tiff` images when using [`prepare_data()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#prepare-data) for [`SuperResolution`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html?highlight=transforms#superresolution)"
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"#### [`arcgis.learn`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#)\n",
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"\n",
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"- fixes to [`prepare_data()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#prepare-data)\n",
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" * unnecessarily creating labels again when called without a downsampling factor\n",
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" * removes crop transforms which left artifacts when running model with default parameters"
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"* Fixes classcode predictions in the predict_las() function for point cloud classification\n",
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"* Fixes to [`SuperResolution`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#superesolution) model:\n",
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" * Applies data augmentation to training data\n",
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" * Normalizes predicted color values in the range of (0,1)\n",
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" * Bug fixes to data preprocessing step when generating downsampled images"
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