In one dimension, cutting-and-shuffling is described mathematically by interval exchange transforms (IETs) , a subset of broader cut-and-shuffle mixing actions called piecewise isometries (PWIs) . An IET cuts a one dimensional domain into intervals that are then reordered according to a specific permutation. The mixing dynamics of IET systems have been studied extensively due to the relative simplicity of IETs (compared to higher dimensional PWIs and mixing in fluid systems) and the surprising richness of their resulting dynamics . Similar to the reproduction of a dynamical system or a portion of it , here we emulate an established algorithm for mixing a one-dimensional domain of two species using supervised learning to train a NN.