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gptkbp:instance_of
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gptkb:neural_networks
|
|
gptkbp:architecture
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gptkb:Deep_Learning
|
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gptkbp:coat_of_arms
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gptkb:16
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gptkbp:developed_by
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gptkb:Visual_Geometry_Group
|
|
gptkbp:has_function
|
138 million
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gptkbp:has_variants
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gptkb:VGG11
gptkb:VGG13
gptkb:VGG16
gptkb:VGG19
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|
https://www.w3.org/2000/01/rdf-schema#label
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VGG16
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gptkbp:input_output
|
224x224
|
|
gptkbp:is_based_on
|
gptkb:Alex_Net
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|
gptkbp:is_compared_to
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gptkb:Inception
gptkb:Dense_Net
gptkb:Res_Net
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|
gptkbp:is_evaluated_by
|
Cross-validation
Test set
Validation set
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
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gptkbp:is_known_for
|
High accuracy
Simplicity of architecture
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|
gptkbp:is_part_of
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gptkb:VGG_family
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|
gptkbp:is_popular_in
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gptkb:Computer_Vision
Academic research
Industry applications
|
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gptkbp:is_supported_by
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gptkb:Keras
gptkb:Caffe
gptkb:Open_CV
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|
gptkbp:is_trained_in
|
gptkb:Image_Net
gptkb:Adam_optimizer
Stochastic Gradient Descent
Large-scale datasets
|
|
gptkbp:is_used_for
|
Anomaly detection
Feature extraction
Video analysis
Image generation
Style transfer
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gptkbp:is_used_in
|
Image segmentation
Transfer learning
Object detection
Face recognition
Medical image analysis
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gptkbp:notable_for
|
Image classification tasks
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gptkbp:performance
|
gptkb:Image_Net_Challenge
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gptkbp:requires
|
Large dataset
|
|
gptkbp:resolution
|
1000 classes
|
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gptkbp:successor
|
gptkb:VGG19
|
|
gptkbp:uses
|
Re LU activation function
|
|
gptkbp:uses_pooling
|
Max pooling
|
|
gptkbp:year_established
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gptkb:2014
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gptkbp:bfsParent
|
gptkb:tf.keras.applications
gptkb:VGGNet
gptkb:Seg_Net
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gptkbp:bfsLayer
|
5
|