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.