• DOI:10.1145/3065386
Corpus ID: 195908774

ImageNet classification with deep convolutional neural networks

@article{Krizhevsky2012ImageNetCW,
  title={ImageNet classification with deep convolutional neural networks},
  author={A. Krizhevsky and Ilya Sutskever and Geoffrey E. Hinton},
  journal={Communications of the ACM},
  year={2012},
  volume={60},
  pages={84 - 90}
}

• A. Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
• Published 2012
• Computer Science
• Communications of the ACM

We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes. [...] Key Method The neural network, which has 60 million parameters and 650,000 neurons, consists of five convolutional layers, some of which are followed by max-pooling layers, and three fully-connected layers with a final 1000-way softmax.Expand

View on ACM

dl.acm.org

Save to Library

Create Alert

Cite

Launch Research Feed