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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:Deep_Learning
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gptkbp:coat_of_arms
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gptkb:34
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gptkbp:developed_by
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gptkb:Microsoft_Research
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gptkbp:has_input_size
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224x224
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gptkbp:has_output_size
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1000 classes
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https://www.w3.org/2000/01/rdf-schema#label
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Res Net34
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gptkbp:introduced_in
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gptkb:2015
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gptkbp:is_compared_to
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gptkb:Dense_Net
gptkb:Inception_Network
gptkb:VGGNet
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gptkbp:is_evaluated_by
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gptkb:CIFAR-10
gptkb:SVHN
gptkb:CIFAR-100
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gptkbp:is_implemented_in
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gptkb:Tensor_Flow
gptkb:Py_Torch
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gptkbp:is_known_for
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Skip Connections
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gptkbp:is_optimized_for
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Speed and Accuracy
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gptkbp:is_part_of
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gptkb:Res_Net_family
gptkb:Image_Net_Large_Scale_Visual_Recognition_Challenge_(ILSVRC)
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gptkbp:is_popular_in
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gptkb:Computer_Vision
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gptkbp:is_pretrained_on
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gptkb:Image_Net
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gptkbp:is_related_to
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gptkb:Deep_Residual_Networks
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gptkbp:is_trained_in
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gptkb:Batch_Normalization
Stochastic Gradient Descent
Data Augmentation
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gptkbp:is_used_for
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Image Classification
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gptkbp:is_used_in
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gptkb:Autonomous_Vehicles
Object Detection
Facial Recognition
Medical Imaging
Semantic Segmentation
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gptkbp:performance
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gptkb:Image_Net_Challenge
73.3% on Image Net
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gptkbp:supports
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gptkb:stage_adaptation
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gptkbp:uses
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Residual Learning
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gptkbp:bfsParent
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gptkb:Res_Net50
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gptkbp:bfsLayer
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6
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