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gptkbp:instanceOf
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gptkb:convolutional_neural_network
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gptkbp:arXivID
|
1608.06993
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|
gptkbp:developedBy
|
gptkb:Laurens_van_der_Maaten
gptkb:Gao_Huang
gptkb:Kilian_Q._Weinberger
gptkb:Zhuang_Liu
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gptkbp:digestSize
|
224x224
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|
gptkbp:frameworkAvailableIn
|
gptkb:TensorFlow
gptkb:Keras
gptkb:PyTorch
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gptkbp:hasOfficialCode
|
https://github.com/liuzhuang13/DenseNet
|
|
gptkbp:hasParameterCount
|
14.3 million
|
|
gptkbp:hasTop1AccuracyOnImageNet
|
76.2%
|
|
gptkbp:hasTop5AccuracyOnImageNet
|
93.2%
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
DenseNet-169
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|
gptkbp:level
|
169
|
|
gptkbp:notablePublication
|
gptkb:Densely_Connected_Convolutional_Networks
|
|
gptkbp:partOf
|
DenseNet family
|
|
gptkbp:predecessor
|
gptkb:DenseNet-121
|
|
gptkbp:publishedIn
|
gptkb:CVPR_2017
|
|
gptkbp:successor
|
gptkb:DenseNet-201
|
|
gptkbp:trainer
|
gptkb:ImageNet
|
|
gptkbp:usedFor
|
feature extraction
image classification
|
|
gptkbp:uses
|
batch normalization
average pooling
bottleneck layers
ReLU activation
dense connectivity
transition layers
|
|
gptkbp:bfsParent
|
gptkb:DenseNet
|
|
gptkbp:bfsLayer
|
6
|