Historical context & research account
This work is an important node in the revival of deep learning during the 2000s. It helps renew research into learning multilayer representations and creates conditions for later large-scale visual deep learning. Its historical role concerns representation learning rather than the direct production of artworks.
Dates & version record
Date displayed for this node：2006 · Date recorded in the research master：2006
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Original sources & further reading
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A Fast Learning Algorithm for Deep Belief Nets
https://doi.org/10.1162/neco.2006.18.7.1527
Current cited URL
Provenance, translation & verification
Archive node #039 · Historical node
Research masters & supplement references · 1
AI Art Genealogy Research Master · p. 14 · 039
Date as recorded: 2006
A Fast Learning Algorithm for Deep Belief Nets ↗
A Fast Learning Algorithm for Deep Belief Nets
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Cite this node
ANTI-AI ARCHIVE. A Fast Learning Algorithm for Deep Belief Nets. Art-history node #039. https://salondesrefuses.cn/en/art-history/039
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