Geospatial Deep Learning with ArcGIS

Deep Learning is an AI technique that uses deep neural networks to solve complex problems. One area of AI where Deep Learning has done exceedingly well is computer vision, or the ability for computers to see. This makes it especially suitable for imagery tasks such as pixel classification, object detection and categorizing features. In this hands-on session, learn how deep learning can be applied on imagery in the ArcGIS platform. You will use ArcGIS Pro and the arcgis.learn module (in ArcGIS API for Python) to train Pixel based Image Classification, Object Detection, and Feature Categorization deep learning models. You will learn about deploying these models in ArcGIS Pro and scaling up inferencing using Image Server. This demo rich session with provide you an opportunity to learn from experts on - Spatial data science capabilities of the ArcGIS platform - Using ArcGIS Notebooks for reproducible and repeatable spatial data science workflows - Spatial analysis, raster analysis and big data analysis using Python - Geospatial machine learning and deep learning capabilities - Training and deploying deep learning models for Image Classification, Object Detection, Feature Extraction and Feature Categorization - Natural language processing on unstructured text - Scalable deep learning with ArcGIS Enterprise - Technology updates, tips, and tricks from Esri experts for successfully deploying and implementing AI solutions - Examples of real-world Geo-AI projects Familiarity with Python is a required prerequisite

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Видео Geospatial Deep Learning with ArcGIS канала Esri Events