Classical Machine Learning techniques have achieved incremental improvements over time and are fundamentally limited in certain areas. In contrast, neural network-based Deep Learning techniques like CNNs, RNNs are unique in that their accuracy scales almost infinitely with the amount of available data. One of the most well-known applications of Deep Learning, autonomous vehicles, would not be practically feasible without modern Deep Learning techniques.