A mathematical theory of semantic development in deep neural networks

An extensive body of empirical research has revealed remarkable regularities in the acquisition, organization, deployment, and neural representation of human semantic knowledge, thereby raising a fundamental conceptual question: What are the theoretical principles governing the ability of neural net...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Saxe, A, McClelland, J, Ganguli, S
Format: Journal article
Sprache:English
Veröffentlicht: National Academy of Sciences 2019