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...

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Détails bibliographiques
Auteurs principaux: Saxe, A, McClelland, J, Ganguli, S
Format: Journal article
Langue:English
Publié: National Academy of Sciences 2019