What Are Lagrangian Neural Networks: Intro To A New Class Of Networks

Neural networks can perform well on tasks such as image classification, language translation, and game playing. However, they usually fail to perform well in tasks that need human abstraction. Activities such as catching balls mid-air or juggling multiple balls, which the humans have mastered, need an intuitive understanding of dynamics of how physical bodies behave. We don't take time out to calculate the trajectories before hitting the ball. Machine learning models lack many basic intuitions about the dynamics of the physical world.