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gptkbp:instance_of
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gptkb:neural_networks
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gptkbp:architecture
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gptkb:Deep_Learning
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gptkbp:coat_of_arms
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Convolutional layers
Fully connected layers
Pooling layers
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gptkbp:developed_by
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gptkb:Google
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gptkbp:engine
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gptkb:Retail
gptkb:security
Automotive
Finance
Healthcare
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gptkbp:has_feature
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Multiple paths
Auxiliary classifiers
Global average pooling
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gptkbp:has_function
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Over 6 million
Less than VGGNet
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https://www.w3.org/2000/01/rdf-schema#label
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Google Net
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gptkbp:improves
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Image classification accuracy
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gptkbp:introduced_in
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gptkb:2014
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gptkbp:is_available_in
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Open source
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gptkbp:is_based_on
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gptkb:Squeeze_Net
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gptkbp:is_compared_to
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gptkb:Mobile_Net
gptkb:Dense_Net
gptkb:Alex_Net
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gptkbp:is_documented_in
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Research papers
Technical blogs
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gptkbp:is_evaluated_by
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gptkb:CIFAR-10
gptkb:MNIST
gptkb:CIFAR-100
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gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Caffe
gptkb:Py_Torch
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gptkbp:is_influenced_by
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gptkb:Res_Net
gptkb:VGGNet
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gptkbp:is_known_for
|
Achieving high accuracy
Reducing parameters
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gptkbp:is_optimized_for
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Computational efficiency
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gptkbp:is_part_of
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gptkb:Image_Net_competition
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gptkbp:is_supported_by
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Community contributions
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gptkbp:is_used_for
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Feature extraction
Transfer learning
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gptkbp:is_used_in
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Image segmentation
Object detection
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gptkbp:predecessor
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gptkb:Inception-v2
gptkb:Inception-v3
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gptkbp:uses
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Inception modules
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gptkbp:won
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gptkb:ILSVRC_2014
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gptkbp:bfsParent
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gptkb:Dense_Net
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gptkbp:bfsLayer
|
5
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