In this research project we leveraged Deep Learning to study a well-known optics problem, namely trying to predict where caustics will emerge, given the position and the intensity of the rays hitting a surface. The architecture proposed consists of two Variational Autoencoders and a Feed-Forward Network to map the two latent spaces.