Using Deep Learning Models with ArcGIS to Extract Information from Imagery

Deep Learning is a hot topic and relevant to the future of GIS. In this session, we will cover the newest tools in ArcGIS Pro and ArcGIS Enterprise for integrating deep learning models into ArcGIS. You will learn how you can use ArcGIS to leverage your existing GIS data and imagery to generate training data. You will learn how to integrate models built with common frameworks such as TensorFlow, CNTK, and PyTorch. We will also cover how custom frameworks and models can be integrated into ArcGIS.
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[@rachellesoliman7157]

Can we use layer stacked NDVI images as input in a pre-trained deep learning model?

[@arunmohan1881]

Is it possible to implant any models trained on PyTorch with arcgis

[@mohdradhiemohdsalleh9222]

Is it possible to classify raster data using deep learning which was stacking from many thematic raster layer such as elevation, NDVI, TWI, lithology, etc.?

[@ridhodwidh]

Sure we can

[@mohdradhiemohdsalleh9222]

@@ridhodwidh how? Could you help me? This is my email address [e-mail]

[@lucasgaldino293]

@@mohdradhiemohdsalleh9222 You got it? would like to apply in the detection of land use