Utilizing Deep Learning in Urban Planning

The chapter explores the potential of using deep learning and satellite imagery in urban planning, focusing on analyzing human behavior patterns and predicting movement trends within cities. It discusses applications like predicting pedestrian paths, analyzing city structures, and assisting businesses in making data-driven decisions. Emphasizing the importance of rich data sets and defined X to Y relationships, the chapter also addresses the need for safety measures around deep learning systems and the demand for qualified individuals in AI and data analysis.