This session will give the audience a quick overview of recent developments in the field of 3D surface analysis with deep learning techniques and an insight into our approach for 3D surface repair. In recent years, deep learning methods have shown to be able to tackle many vision related problems with astonishing success. Compared to the application of Deep Learning for image processing, applications for geometry processing in 3D are still rare. The main reason for this is the lack of a suitable 3D representation. We present a method for 3D surface analysis in which we use different data representations and machine learning methods to repair defect or damaged 3D surfaces. After this session, you should have an idea of how to approach 3D related problems with deep learning.