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...
| 主要な著者: | , , |
|---|---|
| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
National Academy of Sciences
2019
|