This course provides an overview of deep learning applications in visual computing. We will cover some basics of deep learning (optimization, network architecture, compression, …) as well as selected applications (image recognition, segmentation, image synthesis, object detection, object synthesis, mesh segmentation, point cloud processing, …). The selection of the applications is expected to change with different course offerings and will be adapted to the latest research papers in computer vision and computer graphics.