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Limits RegistryAlex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton's AlexNet won the 2012 ImageNet competition by a dramatic margin, widely credited as the moment that triggered the modern deep learning boom in computer vision and, subsequently, across AI broadly. The model trained a large convolutional network on two consumer GPUs (Nvidia GTX 580s), a then-novel approach that made training deep networks on large datasets practical.
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Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton's AlexNet won the 2012 ImageNet competition by a dramatic margin, widely credited as the moment that triggered the modern deep learning boom in computer vision and, subsequently, across AI broadly. The model trained a large convolutional network on two consumer GPUs (Nvidia GTX 580s), a then-novel approach that made training deep networks on large datasets practical.
AlexNet, a deep convolutional neural network trained on GPUs, achieved a 15.3% top-5 error rate on the 2012 ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a roughly 10-percentage-point improvement over the next-best (non-deep-learning) entry's 26.2%.
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Permanent ID limitsregistry.com/limits/LR-ALEXNET-IMAGENET
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Limits Registry. LR-ALEXNET-IMAGENET. AlexNet's ImageNet breakthrough. 2026.