New insights into training dynamics of deep classifiers

MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.

approximation artificial intelligence brain and cognitive sciences center for brains minds and machines classifiers computer science and technology dynamics insights machine learning mcgovern institute mit natural language processing networks novel optimization research researchers school of science training