ImageNet Classification with Deep Convolutional Neural Networks

GPTKB entity

Statements (23)
Predicate Object
gptkbp:instanceOf gptkb:academic_journal
gptkbp:alsoKnownAs gptkb:AlexNet_paper
gptkbp:architectureName gptkb:AlexNet
gptkbp:author gptkb:Alex_Krizhevsky
gptkb:Geoffrey_Hinton
gptkb:Ilya_Sutskever
gptkbp:citation over 100,000
gptkbp:contribution introduction of deep convolutional neural networks for large-scale image classification
gptkbp:doi 10.1145/3065386
https://www.w3.org/2000/01/rdf-schema#label ImageNet Classification with Deep Convolutional Neural Networks
gptkbp:impact significantly advanced the field of computer vision
gptkbp:influenced deep learning research
development of modern CNN architectures
gptkbp:introduced GPU training for deep learning
ReLU activation function in deep networks
dropout regularization
gptkbp:publicationYear 2012
gptkbp:publishedIn gptkb:Advances_in_Neural_Information_Processing_Systems
gptkbp:result reduced top-5 error rate to 15.3%
won the ILSVRC 2012 competition
gptkbp:trainer gptkb:ImageNet
gptkbp:bfsParent gptkb:Alex_Krizhevsky
gptkbp:bfsLayer 5