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NIPS 2012

ImageNet Classification with Deep Convolutional Neural Networks .

Computer Vision CNN ImageNet

Authors

Krizhevsky, Sutskever, Hinton

Conference

NIPS 2012

Abstract

AlexNet sparked the deep learning revolution by winning ImageNet 2012 by a massive margin. It demonstrated that deep CNNs could outperform traditional computer vision methods.

Architecture

  • 5 convolutional layers
  • 3 fully connected layers
  • ReLU activation (first major use)
  • Dropout for regularization
  • Data augmentation

Impact

This paper made deep learning mainstream in computer vision and triggered the AI boom of the 2010s.