Update 02_Train_a_land_classification_model_from_scratch.ipynb
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"In this notebook, you will train a neural network model to predict land use from aerial imagery using Microsoft's Cognitive Toolkit (CNTK). Later notebooks will illustrate how you can apply the trained model to new images, both in Jupyter notebooks and in ESRI's ArcGIS Pro.\n",
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"This tutorial will assume that you have already provisioned an NC series [Geo AI Data Science Virtual Machine]() and are using this Jupyter notebook while connected via remote desktop on that VM. If not, please see our guide to [provisioning and connecting to a Geo AI DSVM](https://github.com/Azure/pixel_level_land_classification/blob/master/geoaidsvm/setup.md).\n",
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"This tutorial will assume that you have already provisioned an NC series [Geo AI Data Science Virtual Machine](http://aka.ms/dsvm/GeoAI) and are using this Jupyter notebook while connected via remote desktop on that VM. If not, please see our guide to [provisioning and connecting to a Geo AI DSVM](https://github.com/Azure/pixel_level_land_classification/blob/master/geoaidsvm/setup.md).\n",
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"## Download supporting files\n",
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"The following commands will use the [AzCopy](https://docs.microsoft.com/en-us/azure/storage/common/storage-use-azcopy) utility to download sample data, a pre-trained model, and code to your VM. The file transfer may take a couple of minutes to complete. When finished, you should see a transfer summary indicating that all files were transferred successfully."
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"The following command will use the [AzCopy](https://docs.microsoft.com/en-us/azure/storage/common/storage-use-azcopy) utility to download sample data, a pre-trained model, and code to your VM. The file transfer may take a couple of minutes to complete. When finished, you should see a transfer summary indicating that all files were transferred successfully. (To begin executing this and other notebook cells, select it and press Ctrl+Enter.)"
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