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"cells" : [
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"cell_type" : " markdown" ,
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- "id" : " 88c01486 " ,
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+ "id" : " c34e7960 " ,
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"metadata" : {},
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"source" : [
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" # What's new in version 2.0.1\n " ,
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" \n " ,
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" #### [`arcgis.learn`](/python/api-reference/arcgis.learn.toc/)\n " ,
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" * Adds [`timm`](https://timm.fast.ai/) support to many models\n " ,
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- " * Includes `EfficentNet ` encoding for [`UnetClassifier`](/python/api-reference/arcgis.learn.toc/#unetclassifier)\n " ,
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+ " * Includes `EfficientNet ` encoding for [`UnetClassifier`](/python/api-reference/arcgis.learn.toc/#unetclassifier)\n " ,
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" * Updates to `backbone` parameter documentation for most models\n " ,
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" * Improves performance by enabling batched processing of resized chips\n " ,
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" * Improves results for models trained with single-band imagery\n " ,
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" * [Automated Machine Learning](/python/api-reference/arcgis.learn.toc/#automated-machine-learning)\n " ,
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" * [`AutoDL`](/python/api-reference/arcgis.learn.toc/#autodl)\n " ,
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" * Enhances initializing when `perform=\" mode\" `\n " ,
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- " * [3d Models](/python/api-reference/arcgis.learn.toc/?highlight=pointcloud #d-models)\n " ,
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+ " * [3d Models](/python/api-reference/arcgis.learn.toc/#d-models)\n " ,
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" * Adds training support for geographic coordinate systems\n " ,
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" * [`PointCNN`](/python/api-reference/arcgis.learn.toc/#pointcnn)\n " ,
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" * Updates [`show_results()`](/python/api-reference/arcgis.learn.toc/#arcgis.learn.PointCNN.show_results) to reflect supported coordinate systems\n " ,
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"cell_type" : " markdown" ,
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- "id" : " 80de84c1 " ,
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+ "id" : " 77145505 " ,
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"metadata" : {},
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"source" : [
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" ## Fixes\n " ,
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