Deep Learning for Satellite Image Analysis

The deep learning course covers the fundamentals of applying machine learning to satellite image analysis. Participants begin with basic regression analysis and progress to neural networks, CNN’s, and U-Net for building extraction & landcover mapping. Those who have prior experience with Numpy and linear algebra are set to gain the most from this course. Please note that Deep Learning algorithms tend to be resource hungry, so access to a computer with a decent GPU / Google Colab is a plus.

(Click the title above to access the training course at GIC’s Github page.)