|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Res_Net-50
|
|
gptkbp:applies_to
|
Image Classification
|
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
|
|
gptkbp:coat_of_arms
|
gptkb:34
|
|
gptkbp:connects
|
gptkb:theorem
|
|
gptkbp:data_usage
|
gptkb:theorem
|
|
gptkbp:developed_by
|
gptkb:Microsoft_Research
|
|
gptkbp:has_variants
|
gptkb:Res_Net-18
gptkb:Res_Net-101
gptkb:Res_Net-152
gptkb:Res_Net-50
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Res Net-34
|
|
gptkbp:input_output
|
224x224
|
|
gptkbp:is_a_framework_for
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_evaluated_by
|
gptkb:CIFAR-10
gptkb:SVHN
gptkb:Caltech-256
gptkb:MIT_Indoor_67
gptkb:Tiny_Image_Net
gptkb:CIFAR-100
Food-101
Places365
Oxford Pets
|
|
gptkbp:is_optimized_for
|
Stochastic Gradient Descent
|
|
gptkbp:is_part_of
|
gptkb:Res_Net_Family
|
|
gptkbp:is_popular_in
|
gptkb:viewpoint
|
|
gptkbp:is_used_by
|
gptkb:theorem
|
|
gptkbp:is_used_for
|
gptkb:Generative_Adversarial_Networks
gptkb:museum
Anomaly Detection
Image Generation
Object Detection
Data Augmentation
Face Recognition
Feature Extraction
Video Analysis
Instance Segmentation
Semantic Segmentation
Medical Image Analysis
|
|
gptkbp:is_used_in
|
gptkb:streaming_service
|
|
gptkbp:localization
|
gptkb:theorem
|
|
gptkbp:losses
|
Cross-Entropy Loss
|
|
gptkbp:performance
|
Image Classification Tasks
73.3% on Image Net
|
|
gptkbp:predecessor
|
gptkb:Res_Net-18
|
|
gptkbp:rank
|
91.3% on Image Net
|
|
gptkbp:resolution
|
1000 classes
|
|
gptkbp:successor
|
gptkb:Res_Net-50
|
|
gptkbp:training
|
gptkb:theorem
gptkb:Image_Net_Dataset
|
|
gptkbp:uses
|
Residual Learning
|
|
gptkbp:year_created
|
gptkb:2015
|