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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Detalles Bibliográficos
Publicado en:American Historical Review Vol. 128; no. 3; pp. 1350 - 1354
Autor principal: Schmidt, Benjamin
Formato: Artículo
Publicado: Oxford University Press / USA Sep2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario: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).