# Representation Learning **Domain:** Machine Learning / Artificial Intelligence **Doc Type:** Concept **Maturity:** Developed **Related:** [[Deep Learning]], [[word2vec]], [[Transformer Models]], [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]] ## Definition Representation learning allows a system to learn useful features or embeddings from data rather than relying only on manually specified representations. ## Bauhaus Architects Context It connects deep learning, word2vec and transformer models to the corpus's wider concern with operational substrates of meaning. ## Backlinks - [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]] - [[articles/Bauhaus Architects of AI|Bauhaus Architects of AI]]