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gptkbp:instanceOf
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gptkb:convolutional_neural_network
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gptkbp:alsoKnownAs
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gptkb:GoogLeNet
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gptkbp:arXivID
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1409.4842
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gptkbp:author
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gptkb:Scott_Reed
gptkb:Vincent_Vanhoucke
gptkb:Wei_Liu
gptkb:Christian_Szegedy
gptkb:Dragomir_Anguelov
gptkb:Dumitru_Erhan
gptkb:Pierre_Sermanet
gptkb:Yangqing_Jia
gptkb:Andrew_Rabinovich
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gptkbp:component
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auxiliary classifiers
factorized convolutions
batch normalization (in later versions)
global average pooling
inception module
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gptkbp:developedBy
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gptkb:Google
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gptkbp:followedBy
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gptkb:Inception-ResNet
gptkb:Inception_v2
gptkb:Inception_v3
gptkb:Inception_v4
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https://www.w3.org/2000/01/rdf-schema#label
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Inception architecture
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gptkbp:improves
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gptkb:VGGNet
gptkb:AlexNet
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gptkbp:inspiredBy
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gptkb:Network-in-Network_architecture
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gptkbp:introducedIn
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gptkb:CVPR_2015
2014
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gptkbp:maximumDepth
|
22 layers (Inception v1)
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gptkbp:notableFor
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multi-scale feature extraction
1x1 convolutions for dimensionality reduction
inception modules
parallel convolutional layers
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gptkbp:notablePublication
|
gptkb:Going_Deeper_with_Convolutions
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|
gptkbp:parameterEfficiency
|
high
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gptkbp:publishedIn
|
gptkb:CVPR_2015
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gptkbp:releaseDate
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gptkb:Inception_v1
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gptkbp:usedFor
|
image classification
object detection
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gptkbp:usedIn
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gptkb:TensorFlow
gptkb:Keras
gptkb:PyTorch
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gptkbp:won
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gptkb:ILSVRC_2014_classification_challenge
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gptkbp:bfsParent
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gptkb:Xception
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gptkbp:bfsLayer
|
6
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