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gptkbp:instanceOf
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Neural Network Component
|
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gptkbp:architecture
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gptkb:Skip_Connection
Identity Mapping
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gptkbp:citation
|
100000+
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gptkbp:commonActivation
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gptkb:ELU
gptkb:ReLU
gptkb:Leaky_ReLU
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gptkbp:component
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gptkb:ResNet-101
gptkb:ResNet-152
gptkb:ResNet-18
gptkb:ResNet-34
gptkb:ResNet-50
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gptkbp:enables
|
Training of very deep networks
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gptkbp:hasVariant
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Bottleneck Residual Block
Dilated Residual Block
Pre-activation Residual Block
Squeeze-and-Excitation Residual Block
|
|
https://www.w3.org/2000/01/rdf-schema#label
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Residual Block
|
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gptkbp:influenced
|
gptkb:transformation
gptkb:Highway_Network
gptkb:UNet
Dense Block
|
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gptkbp:input
|
Input Tensor
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gptkbp:introduced
|
gptkb:Shaoqing_Ren
gptkb:Xiangyu_Zhang
gptkb:Jian_Sun
gptkb:Kaiming_He
|
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gptkbp:introducedIn
|
gptkb:ResNet
2015
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gptkbp:notablePublication
|
gptkb:Deep_Residual_Learning_for_Image_Recognition
https://arxiv.org/abs/1512.03385
|
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gptkbp:operator
|
Convolution
Addition
Batch Normalization
Activation Function
|
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gptkbp:output
|
Output Tensor
|
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gptkbp:purpose
|
Mitigate vanishing gradient problem
|
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gptkbp:usedIn
|
gptkb:Natural_Language_Processing
gptkb:Speech_Recognition
Deep Learning
Object Detection
Image Classification
Semantic Segmentation
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gptkbp:bfsParent
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gptkb:Residual_Network
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gptkbp:bfsLayer
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7
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