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...

Повний опис

Бібліографічні деталі
Автори: Saxe, A, McClelland, J, Ganguli, S
Формат: Journal article
Мова:English
Опубліковано: National Academy of Sciences 2019