Deep Learning has revolutionized imagery exploitation. In a matter of minutes, you can find objects of interest or classify pixels with high accuracy, across massive areas. Applications range from map production automation, damaged structures assessment post hurricanes, counting trees for agriculture census, monitoring land cover change, to counting features from drone imagery and full motion video (FMV). In this on-demand webinar, explore how new deep learning capabilities in ArcGIS, can help you access this exciting world with zero lines of code (or a few ones if you prefer to!) Topics covered: • Introduction to artificial intelligence (AI), machine learning (ML), and deep learning (DL) [1:41] • Overview of deep learning in ArcGIS [9:45] • Demo: Well pad detection using deep learning tools in ArcGIS Pro [14:48] • Overview of ArcGIS Notebooks [22:29] • Overview of the arcgis.learn module within ArcGIS API for Python [22:49] • Demo: Training models using arcgis.learn [27:55] • Types of deep learning models & their applications to GIS [38:53] • Demo: End-to-end workflow of building damage classification with building footprints [39:40] • Demo: How to train a building footprint extraction model with missing data [46:45] • Demo: Object detection using motion imagery [50:10] • ArcGIS Enterprise deep learning system architecture [53:57] • What you need to get started [55:45] • Resources [56:18] • Q&A [58:27] For more information on ArcGIS spatial analysis and data science tools, please visit: http://ow.ly/JKsf50znzav --------------------------------------------------------------------------------------------------- Follow us on Social Media! Twitter: https://twitter.com/Esri Facebook: https://facebook.com/EsriGIS LinkedIn: https://www.linkedin.com/company/esri Instagram: https://www.instagram.com/esrigram The Science of Where: http://www.esri.com