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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:AI_technology
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gptkbp:coat_of_arms
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16 or 19
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gptkbp:community_support
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gptkb:Strong
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gptkbp:competitions_won
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gptkb:Various
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gptkbp:contribution
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Open Source Implementations
Advancement in Computer Vision
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gptkbp:dataset_used_for_training
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gptkb:Image_Net
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gptkbp:developed_by
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gptkb:Visual_Geometry_Group
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gptkbp:drops
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0.5
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https://www.w3.org/2000/01/rdf-schema#label
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VGG Network
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gptkbp:image_format
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RGB
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gptkbp:impact
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gptkb:High
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gptkbp:initialization_method
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Xavier Initialization
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gptkbp:initiated_by
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Re LU
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gptkbp:input_normalization
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Mean subtraction
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gptkbp:input_output
|
224x224 pixels
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gptkbp:is_a_framework_for
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gptkb:Tensor_Flow
gptkb:Keras
gptkb:Py_Torch
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gptkbp:is_optimized_for
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Stochastic Gradient Descent
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gptkbp:is_standardized_by
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Not used in original model
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gptkbp:losses
|
Cross-Entropy Loss
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gptkbp:migration
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Applicable
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gptkbp:model
|
Large
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gptkbp:notable_applications
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Object Detection
Image Segmentation
Face Recognition
Scene Understanding
Medical Image Analysis
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gptkbp:notable_for
|
Deep Convolutional Layers
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gptkbp:orbital_period
|
138 million
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gptkbp:output_activation_function
|
Softmax
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gptkbp:performance
|
Top-5 Accuracy
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gptkbp:pooling_type
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Max Pooling
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gptkbp:pretrained_models_available
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gptkb:Yes
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gptkbp:related_model
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gptkb:Efficient_Net
gptkb:Inception
gptkb:Mobile_Net
gptkb:Dense_Net
gptkb:Res_Net
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gptkbp:research_papers_published
|
Numerous
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gptkbp:resolution
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1000 classes
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gptkbp:successor
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gptkb:VGG16
gptkb:VGG19
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gptkbp:training
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Days to weeks depending on hardware
|
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gptkbp:training_data_augmentation
|
Commonly used
|
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gptkbp:type_of_learning
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Supervised Learning
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gptkbp:used_for
|
Image Classification
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gptkbp:visualization_technique
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Grad-CAM
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gptkbp:year_established
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gptkb:2014
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gptkbp:bfsParent
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gptkb:Deep_Residual_Networks
gptkb:Res_Net_Family
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gptkbp:bfsLayer
|
7
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