In 2011, a student of Jeff Hinton left a neural network training by accident for a month on GPU hardware, running through millions of images, and the resulting trained network won that year's ImageNet competition, triggering a major resurgence of interest in deep learning and proving that deeper neural networks with multiple layers could solve complex image recognition tasks.