- Start
- Sep 30, 201290% CONFIDENCEfrom the source
AlexNet Wins ImageNet and Starts the Deep Learning Boom
- Krizhevsky, Sutskever and Hinton formed team SuperVision and submitted AlexNet to the ImageNet Large Scale Visual Recognition Challenge on 30 September 2012[2]
- AlexNet classifies images into 1,000 object categories and "is regarded as the first widely recognized application of deep convolutional networks in large-scale visual recognition"[2]
- The paper, "ImageNet Classification with Deep Convolutional Neural Networks", appeared in Advances in Neural Information Processing Systems 25[1]
- It did not come from nowhere: between 15 May 2011 and 10 September 2012 the group's convolutional networks "won four image competitions and achieved state of the art for multiple image databases"[2]
References 387% CONFIDENCE
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- [1]90%papers.nips.cc/paper_files/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.htmlpapers.nips.cc· Posted Sep 22, 2026· Starts Sep 30, 2012 ✓· 33% of score
Wikipedia's[2][3] AlexNet article gives the submission date without hedging: "The three formed team SuperVision and submitted AlexNet in the ImageNet Large Scale Visual Recognition Challenge on September 30, 2012." The paper itself, "ImageNet Classification with Deep Convolutional Neural Networks", followed in Advances in Neural Information Processing Systems 25 later that year; the pin takes the dated competition result.
- [2]90%AlexNeten.wikipedia.org· Added Sep 22, 2026· 33% of score
Dates the ILSVRC submission and describes the architecture as "regarded as the first widely recognized application of deep convolutional networks in large-scale visual recognition", developed by Krizhevsky with Sutskever and his advisor Hinton.[1]
- [3]80%
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