Deep Learning falls under the general umbrella of data representations and follows a structured approach to extract useful information from data. In our lab we are particularly interested in deep learning applied to computer vision, mainly the problems of classification, localization, segmentation and 3D models. We apply our research in a number of domains ranging from satellite imagery and hyperspectral unmixing, to computational fluid dynamics.