Replica Theory Shows Deep Neural Networks Think Alike

A collaboration between researchers from Cornell and the University of Pennsylvania has found a way to determine the most effective deep neural networks by analyzing their trajectories in a low-dimensional space. This technique could potentially be used to improve the accuracy and efficiency of machine learning algorithms.