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gptkbp:instance_of
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gptkb:neural_networks
|
|
gptkbp:architecture
|
gptkb:AI_technology
|
|
gptkbp:coat_of_arms
|
gptkb:11
|
|
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:VGG13
gptkb:VGG19
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|
https://www.w3.org/2000/01/rdf-schema#label
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VGG11
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gptkbp:input_output
|
224x224
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|
gptkbp:is_analyzed_in
|
gptkb:stage_adaptation
Fine-tuning
|
|
gptkbp:is_compared_to
|
gptkb:Inception
gptkb:Res_Net
|
|
gptkbp:is_evaluated_by
|
gptkb:test_subjects
F1 Score
Precision
Recall
Validation Set
Top-1 Accuracy
Top-5 Accuracy
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:Goog_Le_Net
gptkb:Alex_Net
|
|
gptkbp:is_known_for
|
gptkb:Simplicity
Depth
High Accuracy
|
|
gptkbp:is_part_of
|
gptkb:VGG_Family
Deep Learning Frameworks
|
|
gptkbp:is_popular_in
|
gptkb:Computer_Vision
|
|
gptkbp:is_trained_in
|
gptkb:Image_Net
Stochastic Gradient Descent
Data Augmentation
Large Datasets
|
|
gptkbp:is_used_for
|
Feature Extraction
|
|
gptkbp:is_used_in
|
gptkb:Augmented_Reality
gptkb:art
gptkb:Autonomous_Vehicles
gptkb:virtual_reality
gptkb:Optical_Character_Recognition
gptkb:robotics
Image Classification
Facial Recognition
Medical Imaging
Content-Based Image Retrieval
Image Retrieval
Image Captioning
Generative Models
Video Analysis
Scene Recognition
Text Recognition
|
|
gptkbp:is_used_in_applications_of
|
Object Detection
Image Segmentation
|
|
gptkbp:performance
|
gptkb:Image_Net_Challenge
|
|
gptkbp:resolution
|
1000
|
|
gptkbp:successor
|
gptkb:VGG16
|
|
gptkbp:uses
|
Re LU Activation Function
|
|
gptkbp:uses_convolution
|
3x3 Convolutional Layers
|
|
gptkbp:uses_pooling
|
Max Pooling
|
|
gptkbp:year_established
|
gptkb:2014
|
|
gptkbp:bfsParent
|
gptkb:VGG16
|
|
gptkbp:bfsLayer
|
6
|