Alex Krizhevsky
A computer scientist and the first author of AlexNet, who played a key role in the revival of deep learning.
Core Facts
Timeline (last 90 days)
In 2012, Hinton and his students Alex Krizhevsky and Ilya Sutskever developed the AlexNet model, which achieved breakthrough results in the ImageNet competition.
2012年Alex Krizhevsky等人使用AlexNet在ImageNet竞赛中将top-5错误率从26%降低到15.3%，该突破基于两块GTX 580显卡的CUDA加速训练实现
CIFAR-10 is an image classification benchmark dataset released by Alex Krizhevsky and Geoffrey Hinton in 2009, containing 60,000 32×32 pixel color images across 10 categories, with 50,000 for training and 10,000 for testing.
All Facts (4)
In 2012, AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) by a margin of nearly 11 percentage points over the second-place entry, reducing the Top-5 error rate from 26% to 15.3%
90%Unverified2012年Alex Krizhevsky等人使用AlexNet在ImageNet竞赛中将top-5错误率从26%降低到15.3%，该突破基于两块GTX 580显卡的CUDA加速训练实现
50%UnverifiedCIFAR-10 is an image classification benchmark dataset released by Alex Krizhevsky and Geoffrey Hinton in 2009, containing 60,000 32×32 pixel color images across 10 categories, with 50,000 for training and 10,000 for testing.
50%UnverifiedIn 2012, Hinton and his students Alex Krizhevsky and Ilya Sutskever developed the AlexNet model, which achieved breakthrough results in the ImageNet competition.
50%