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gptkbp:instanceOf
|
gptkb:convolutional_neural_network
|
|
gptkbp:achievedTop5ErrorRate
|
7.3% on ImageNet
|
|
gptkbp:activatedBy
|
gptkb:ReLU
|
|
gptkbp:architecture
|
deep feedforward neural network
|
|
gptkbp:developedBy
|
gptkb:University_of_Oxford
gptkb:Visual_Geometry_Group
|
|
gptkbp:frameworksAvailableIn
|
gptkb:TensorFlow
gptkb:Keras
gptkb:Caffe
gptkb:PyTorch
|
|
gptkbp:hasType
|
convolutional layer
fully connected layer
max pooling layer
softmax layer
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
VGG-19
|
|
gptkbp:influenced
|
gptkb:ResNet
gptkb:DenseNet
|
|
gptkbp:influencedBy
|
gptkb:AlexNet
|
|
gptkbp:inputImageSize
|
224x224
|
|
gptkbp:introduced
|
gptkb:Very_Deep_Convolutional_Networks_for_Large-Scale_Image_Recognition
|
|
gptkbp:introducedIn
|
2014
|
|
gptkbp:level
|
19
|
|
gptkbp:parameter
|
about 143 million
|
|
gptkbp:pretrainedWeightsAvailable
|
yes
|
|
gptkbp:successor
|
gptkb:VGG-16
|
|
gptkbp:trainer
|
gptkb:ImageNet
|
|
gptkbp:url
|
https://arxiv.org/abs/1409.1556
|
|
gptkbp:usedFor
|
feature extraction
transfer learning
image classification
|
|
gptkbp:bfsParent
|
gptkb:VGGNet
|
|
gptkbp:bfsLayer
|
6
|