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|CSDMS meeting abstract presentation=Convolutional Neural Networks have driven a revolution in computer vision and "AI" due to their ability to recognize complex spatial patterns.  They are also finding more and more use in the geosciences.  In this webinar we will go through what a CNN is, how to implement one using the PyTorch library, and some of the ways that we can interpret them to help our science.
|CSDMS meeting abstract presentation=Convolutional Neural Networks have driven a revolution in computer vision and "AI" due to their ability to recognize complex spatial patterns.  They are also finding more and more use in the geosciences.  In this webinar we will go through what a CNN is, how to implement one using the PyTorch library, and some of the ways that we can interpret them to help our science.
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Latest revision as of 16:33, 11 June 2025

CSDMS 2025 Webinars


How to Use Convolutional Neural Networks (CNN) for Spatial Data


Registration link: https://cuboulder.zoom.us/meeting/register/s1CYGXgRSY-AjhAMKW2E4A

Jo Martin

University of Colorado, Boulder, United States
jo.martin@colorado.edu


Abstract
Convolutional Neural Networks have driven a revolution in computer vision and "AI" due to their ability to recognize complex spatial patterns. They are also finding more and more use in the geosciences. In this webinar we will go through what a CNN is, how to implement one using the PyTorch library, and some of the ways that we can interpret them to help our science.

Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know (CSDMSweb@colorado.edu) and we will respond as soon as possible.

Of interest for:
  • Terrestrial Working Group
  • Coastal Working Group
  • Marine Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Cyberinformatics and Numerics Working Group
  • Hydrology Focus Research Group
  • Chesapeake Focus Research Group
  • Critical Zone Focus Research Group
  • Human Dimensions Focus Research Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative
  • Artificial Intelligence & Machine Learning Initiative
  • Modeling Platform Interoperability Initiative
  • River Network Modeling Initiative