Representation Learning.

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 characte...

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Bibliographic Details
Published in:	American Historical Review Vol. 128; no. 3; pp. 1350 - 1354
Main Author:	Schmidt, Benjamin
Format:	Article
Published:	Oxford University Press / USA Sep2023
Subjects:	Machine learning Historical research methods Vector spaces Artificial neural networks Keyword searching Optical character recognition
Online Access:	View this record in EBSCOhost

Description
Summary:	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).