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gptkbp:instanceOf
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gptkb:convolutional_neural_network
|
|
gptkbp:activatedBy
|
gptkb:ReLU
|
|
gptkbp:architecture
|
gptkb:feedforward_neural_network
|
|
gptkbp:author
|
gptkb:Andrew_Zisserman
gptkb:Karen_Simonyan
|
|
gptkbp:competition
|
gptkb:ILSVRC_2014
|
|
gptkbp:developedBy
|
gptkb:University_of_Oxford
gptkb:Visual_Geometry_Group
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|
gptkbp:frameworksAvailableIn
|
gptkb:TensorFlow
gptkb:Keras
gptkb:PyTorch
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
VGG-16
|
|
gptkbp:inputImageSize
|
224x224
|
|
gptkbp:introduced
|
gptkb:Very_Deep_Convolutional_Networks_for_Large-Scale_Image_Recognition
|
|
gptkbp:introducedIn
|
2014
|
|
gptkbp:level
|
16
|
|
gptkbp:notableFor
|
use of small 3x3 convolution filters
deep architecture
|
|
gptkbp:numberOfConvolutionalLayers
|
13
|
|
gptkbp:numberOfFullyConnectedLayers
|
3
|
|
gptkbp:parameter
|
138 million
|
|
gptkbp:successor
|
gptkb:VGG-19
|
|
gptkbp:top5ErrorRateOnImageNet
|
7.3%
|
|
gptkbp:trainer
|
gptkb:ImageNet
|
|
gptkbp:usedFor
|
feature extraction
transfer learning
image classification
|
|
gptkbp:bfsParent
|
gptkb:VGGNet
|
|
gptkbp:bfsLayer
|
6
|