When deep-learning classifiers try to learn new classes through supervised learning. they exhibit catastrophic forgetting issues. In this paper we propose the Gaussian Mixture Model - Incremental Learner (GMM-IL). a novel two-stage architecture that couples unsupervised visual feature learning with supervised probabilistic models to represent each class. https://www.roneverhart.com/