A new paper argues that a scientific theory of deep learning is finally emerging. The authors propose learning mechanics, a mathematical framework treating neural network training like physics. This approach aims to bridge the gap between empirical success and theoretical understanding. It provides a roadmap for predicting model performance through formal statistics.