ANTI-AI ARCHIVE
ART-HISTORY NODE / 077 · 2012

AlexNet

AlexNet

Krizhevsky, Sutskever & Hinton

Introduction

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.

ORIGINAL DOCUMENT#077
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Page 3 of the linked paper PDF, preserving its original figures and language. The source file identifies the edition; later revision or reprint dates do not replace the node’s historical date.

Krizhevsky, Sutskever & Hinton · original paper · Image rights remain with their respective holders; no open licence is asserted

Source · AlexNet ↗

RESEARCH ACCOUNT

From classification to a new visual infrastructure

ANTI-AI ARCHIVE · Revised 2026-10-02

Method and contribution

AlexNet addressed the classification of ImageNet images into one thousand categories, not painting generation. The abstract describes a large convolutional network, a GPU implementation, non-saturating neurons and a method to reduce overfitting. Reported performance belongs to particular data and error measures, rather than demonstrating superiority across every visual task.

Section sources: AlexNet

Art-historical interpretation

Editorial interpretation: the connection to art lies in learned visual representations and their computational conditions. Later style transfer and feature visualisation redirected such networks towards image-making. Turning a recognition system into creative material is a historical change, not its original purpose.

Section sources: AlexNet

Sources for this account

AlexNet ↗

Author or conference abstract and version record read; full proofs and experiments were not independently reproduced.

This account expands the archive within the cited scope. Historical interpretation is not presented as the original author’s statement or as a proven causal influence. The account and translation are AI-assisted, pending independent human review. Section references identify evidence without claiming independent verification of every historical statement.

Continue with a comparative question

A Neural Algorithm of Artistic Style ↗

Compare the methods, forms of control or presentation contexts of this entry and A Neural Algorithm of Artistic Style.

DeepDream ↗

Compare the methods, forms of control or presentation contexts of this entry and DeepDream.

Dates & version record

Date displayed for this node: 2012 · Historical date recorded for the source: 2012

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Original sources & further reading

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AlexNet ↗

AlexNet

https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks

Current cited URL

Provenance, translation & verification

Timeline entry #077 · Historical node

Research materials & supplement references · 1

AI Art Genealogy Research Master · p. 15 · 043
Date as recorded: 2012
AlexNet ↗
AlexNet

Archive account based on the listed research materials, not a full translation of the linked work. AI-assisted translation; independent human review pending.

The master’s research claims and dates await independent verification.

Cite this node

ANTI-AI ARCHIVE. AlexNet. Art-history node #077. https://salondesrefuses.cn/en/art-history/043

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