ImageNet classification with deep convolutional neural networks
ImageNet classification with deep convolutional neural networks
A. Krizhevsky,I. Sutskever,Geoffrey E. Hinton
2012 · DOI: 10.1145/3065386
Communications of the ACM · 132,023 Citations
TLDR
A large, deep convolutional neural network was trained to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes and employed a recently developed regularization method called "dropout" that proved to be very effective.