|
gptkbp:instanceOf
|
gptkb:convolutional_neural_network
|
|
gptkbp:architecture
|
gptkb:model
|
|
gptkbp:basedOn
|
compound scaling method
|
|
gptkbp:developedBy
|
gptkb:Google_AI
|
|
gptkbp:displayType
|
600x600
|
|
gptkbp:hasActivationFunction
|
gptkb:Swish
|
|
gptkbp:hasDropConnect
|
yes
|
|
gptkbp:hasDropout
|
yes
|
|
gptkbp:hasFinalLayer
|
Fully Connected
|
|
gptkbp:hasInputChannels
|
3
|
|
gptkbp:hasNormalization
|
Batch Normalization
|
|
gptkbp:hasOutputClasses
|
1000 (ImageNet)
|
|
gptkbp:hasPaperAuthors
|
gptkb:Mingxing_Tan
gptkb:Quoc_V._Le
|
|
gptkbp:hasPaperTitle
|
gptkb:EfficientNet:_Rethinking_Model_Scaling_for_Convolutional_Neural_Networks
|
|
gptkbp:hasPaperURL
|
https://arxiv.org/abs/1905.11946
|
|
gptkbp:hasParameterCount
|
66 million
|
|
gptkbp:hasPooling
|
Global Average Pooling
|
|
gptkbp:hasSqueezeExcitation
|
yes
|
|
gptkbp:hasTop1Accuracy
|
84.4% on ImageNet
|
|
gptkbp:hasTop5Accuracy
|
97.1% on ImageNet
|
|
gptkbp:hasVariant
|
gptkb:EfficientNet-B0
gptkb:EfficientNet-B1
gptkb:EfficientNet-B2
gptkb:EfficientNet-B3
gptkb:EfficientNet-B4
gptkb:EfficientNet-B5
gptkb:EfficientNet-B6
EfficientNet-B8
EfficientNet-L2
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
EfficientNet-B7
|
|
gptkbp:implementedIn
|
gptkb:TensorFlow
gptkb:PyTorch
|
|
gptkbp:improves
|
gptkb:Inception-v4
gptkb:ResNet-152
|
|
gptkbp:inputImageSize
|
600x600
|
|
gptkbp:introducedIn
|
2019
|
|
gptkbp:license
|
Apache 2.0
|
|
gptkbp:maximumDepth
|
66 layers
|
|
gptkbp:openSource
|
yes
|
|
gptkbp:partOf
|
EfficientNet family
|
|
gptkbp:pretrainedWeightsAvailable
|
yes
|
|
gptkbp:publishedIn
|
gptkb:ICML_2019
|
|
gptkbp:usedFor
|
transfer learning
image classification
|
|
gptkbp:width
|
3.1x base width
|
|
gptkbp:bfsParent
|
gptkb:EfficientNet
|
|
gptkbp:bfsLayer
|
6
|