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    <title>topic Training deep learning models over raster data in ArcGIS Pro Questions</title>
    <link>https://community.esri.com/t5/arcgis-pro-questions/training-deep-learning-models-over-raster-data/m-p/1357311#M75983</link>
    <description>&lt;P&gt;I want to create a model for air pollution prediction using deep learning. I have 5 kinds of raster data and each one is related to one of my dependent or independent features. These raster data cover the same area. I have 24 raster files for each feature, each for a month over two years. I have 5 independent variables and 1 dependent variable. This means I have 144 raster files each including numerous cells. if I want to use this data to train a deep learning model, what is the best data structure to work with? Is it better to export each raster data as a numpy array and try to merge the data for each month in a notebook and then work with that data? or create a multiband raster data each band representing one variable amount in that cell for special month which means 24 multi-band raster data. Or do you have any other ideas?&lt;/P&gt;</description>
    <pubDate>Wed, 06 Dec 2023 12:51:14 GMT</pubDate>
    <dc:creator>AmirBaniasadi</dc:creator>
    <dc:date>2023-12-06T12:51:14Z</dc:date>
    <item>
      <title>Training deep learning models over raster data</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/training-deep-learning-models-over-raster-data/m-p/1357311#M75983</link>
      <description>&lt;P&gt;I want to create a model for air pollution prediction using deep learning. I have 5 kinds of raster data and each one is related to one of my dependent or independent features. These raster data cover the same area. I have 24 raster files for each feature, each for a month over two years. I have 5 independent variables and 1 dependent variable. This means I have 144 raster files each including numerous cells. if I want to use this data to train a deep learning model, what is the best data structure to work with? Is it better to export each raster data as a numpy array and try to merge the data for each month in a notebook and then work with that data? or create a multiband raster data each band representing one variable amount in that cell for special month which means 24 multi-band raster data. Or do you have any other ideas?&lt;/P&gt;</description>
      <pubDate>Wed, 06 Dec 2023 12:51:14 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/training-deep-learning-models-over-raster-data/m-p/1357311#M75983</guid>
      <dc:creator>AmirBaniasadi</dc:creator>
      <dc:date>2023-12-06T12:51:14Z</dc:date>
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