Currently, the use of deep learning for solving ordinal classification problems, where categories follow a natural order, has not received much attention. In this paper, we propose an unimodal regularisation based on beta distribution applied to cross-entropy loss. This encourages labels be soft distribution, more appropriate problems. Given that two parameters must adjusted, method automatical...