Update 01_Intro_to_pixel-level_land_classification.ipynb
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"source": [
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"## Getting started\n",
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"\n",
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"This notebook is intended for use on an NC-series [Azure Geo AI Data Science VM](). For step-by-step instructions on provisioning the VM, visit [our git repository](https://github.com/Azure/pixel_level_land_classification).\n",
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"This notebook is intended for use on an NC-series [Azure Geo AI Data Science VM](http://aka.ms/dsvm/GeoAI). For step-by-step instructions on provisioning the VM, visit [our git repository](https://github.com/Azure/pixel_level_land_classification).\n",
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"\n",
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"1. [Train a land classification model from scratch](./02_Train_a_land_classification_model_from_scratch.ipynb)\n",
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"source": [
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"## Next steps\n",
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"\n",
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"We recommend that you begin this tutorial series with the [training notebook]((./02_Train_a_land_classification_model_from_scratch.ipynb).\n",
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"We recommend that you begin this tutorial series with the [training notebook](./02_Train_a_land_classification_model_from_scratch.ipynb).\n",
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"\n",
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"In this notebook series, we train and deploy a model on a Geo AI Data Science VM. To improve model accuracy, we recommend training for more epochs on a larger dataset. Please see [our GitHub repository](https://github.com/Azure/pixel_level_land_classification) for more details on scaling up training using Azure Batch AI.\n",
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"\n",
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