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gptkbp:instanceOf
|
gptkb:convolutional_neural_network
|
|
gptkbp:activatedBy
|
gptkb:ReLU
|
|
gptkbp:category
|
gptkb:model
computer vision
|
|
gptkbp:developedBy
|
gptkb:University_of_Oxford
gptkb:Visual_Geometry_Group
|
|
gptkbp:digestSize
|
224x224 pixels
|
|
gptkbp:filterThread
|
3x3
|
|
gptkbp:frameworksAvailableIn
|
gptkb:TensorFlow
gptkb:Keras
gptkb:PyTorch
|
|
gptkbp:hasType
|
convolutional layer
fully connected layer
max pooling layer
softmax layer
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
VGG-11
|
|
gptkbp:introduced
|
gptkb:Very_Deep_Convolutional_Networks_for_Large-Scale_Image_Recognition
|
|
gptkbp:introducedIn
|
2014
|
|
gptkbp:level
|
11
|
|
gptkbp:notableFor
|
deep network with small filters
simple and uniform architecture
|
|
gptkbp:numberOfConvolutionalLayers
|
8
|
|
gptkbp:numberOfFullyConnectedLayers
|
3
|
|
gptkbp:outputClasses
|
1000
|
|
gptkbp:padding
|
1
|
|
gptkbp:poolingSize
|
2x2
|
|
gptkbp:poolingStride
|
2
|
|
gptkbp:relatedTo
|
gptkb:VGG-16
gptkb:VGG-19
|
|
gptkbp:stride
|
1
|
|
gptkbp:trainer
|
gptkb:ImageNet
|
|
gptkbp:usedFor
|
feature extraction
image classification
|
|
gptkbp:bfsParent
|
gptkb:VGGNet
|
|
gptkbp:bfsLayer
|
6
|