Representation Learning.
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| Title: | Representation Learning. |
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| Authors: | Schmidt, Benjamin (AUTHOR) |
| Source: | American Historical Review. Sep2023, Vol. 128 Issue 3, p1350-1353. 4p. |
| Subjects: | Machine learning, Historical research methods, Vector spaces, Artificial neural networks, Keyword searching, Optical character recognition |
| Abstract: | The article discusses representation learning (RL), with a particular focus given to its use within the context of historical practice. Topics mentioned include vectors and vector spaces, artificial neural networks and the relationship between texts and images, full-text search, and optical character recognition (OCR). |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | The article discusses representation learning (RL), with a particular focus given to its use within the context of historical practice. Topics mentioned include vectors and vector spaces, artificial neural networks and the relationship between texts and images, full-text search, and optical character recognition (OCR). |
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| ISSN: | 00028762 |
| DOI: | 10.1093/ahr/rhad363 |
