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gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Res_Net50
|
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
|
|
gptkbp:coat_of_arms
|
gptkb:34
|
|
gptkbp:developed_by
|
gptkb:Microsoft_Research
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Res Net34
|
|
gptkbp:input_output
|
1000 classes
224x224
|
|
gptkbp:introduced
|
gptkb:2015
|
|
gptkbp:is_compared_to
|
gptkb:Dense_Net
gptkb:Inception_Network
VGG Net
|
|
gptkbp:is_evaluated_by
|
gptkb:CIFAR-10
gptkb:SVHN
gptkb:CIFAR-100
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_known_for
|
Skip Connections
|
|
gptkbp:is_optimized_for
|
Speed and Accuracy
|
|
gptkbp:is_part_of
|
gptkb:Res_Net_family
gptkb:Image_Net_Large_Scale_Visual_Recognition_Challenge_(ILSVRC)
|
|
gptkbp:is_popular_in
|
gptkb:viewpoint
|
|
gptkbp:is_related_to
|
gptkb:Deep_Residual_Networks
|
|
gptkbp:is_used_for
|
Image Classification
|
|
gptkbp:is_used_in
|
gptkb:Autonomous_Vehicles
Object Detection
Facial Recognition
Medical Imaging
Semantic Segmentation
|
|
gptkbp:performance
|
gptkb:Image_Net_Challenge
73.3% on Image Net
|
|
gptkbp:supports
|
gptkb:streaming_service
|
|
gptkbp:training
|
gptkb:Image_Net
gptkb:Batch_Normalization
Stochastic Gradient Descent
Data Augmentation
|
|
gptkbp:uses
|
Residual Learning
|