Learning a good generative model is of utmost importance for the problems of computer vision, image classification and image processing. In particular, learning features from small tiny patches and perform further tasks, like traffic sign recognition, can be very useful. In this paper we propose to use Deep Belief Networks, based on Restricted Boltzmann Machines and a direct use of tiny images,...