Historical context & research account
AlexNet substantially outperforms established methods on ImageNet classification and helps make deep convolutional networks central to computer vision. The master reads this as a convergence of dataset scale, GPU computation and learned representations, extending the Dataset Turn into the production of new visual capabilities.
Dates & version record
Date displayed for this node：2012 · Date recorded in the research master：2012
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Original sources & further reading
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AlexNet
https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks
Current cited URL
Provenance, translation & verification
Archive node #043 · Historical node
Research masters & supplement references · 1
AI Art Genealogy Research Master · p. 15 · 043
Date as recorded: 2012
AlexNet ↗
AlexNet
Archive account adapted from the masters, not a full translation of the linked work. AI-assisted translation; human review pending.
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Cite this node
ANTI-AI ARCHIVE. AlexNet. Art-history node #043. https://salondesrefuses.cn/en/art-history/043
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