Historical context & research account
Backpropagation allows hidden layers to learn internal representations useful for a task. It is not itself a technique for visual generation, but becomes one of the mechanisms underlying later deep-learning vision systems. Features need no longer be entirely designed by hand; they can form through training.
Dates & version record
Date displayed for this node：1986 · Date recorded in the research master：1986
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Original sources & further reading
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Learning representations by back-propagating errors
https://doi.org/10.1038/323533a0
Current cited URL
Provenance, translation & verification
Archive node #030 · Historical node
Research masters & supplement references · 1
AI Art Genealogy Research Master · p. 11 · 030
Date as recorded: 1986
Learning representations by back-propagating errors ↗
Learning representations by back-propagating errors
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ANTI-AI ARCHIVE. Learning representations by back-propagating errors. Art-history node #030. https://salondesrefuses.cn/en/art-history/030
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