gptkbp:instance_of
|
gptkb:television_channel
|
gptkbp:bfsLayer
|
5
|
gptkbp:bfsParent
|
gptkb:Res_Net50
|
gptkbp:adapted_into
|
Real-time Applications
|
gptkbp:applies_to
|
gptkb:viewpoint
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
|
gptkbp:competes_with
|
VGG Net
|
gptkbp:developed_by
|
gptkb:Microsoft_Research
Visual Recognition Tasks
|
gptkbp:has
|
101 layers
|
gptkbp:has_achievements
|
Image Net classification accuracy
|
https://www.w3.org/2000/01/rdf-schema#label
|
Res Net101
|
gptkbp:improves
|
Gradient Flow
|
gptkbp:introduced
|
gptkb:2015
|
gptkbp:is_adopted_by
|
gptkb:film_production_company
Tech Companies
|
gptkbp:is_compared_to
|
gptkb:Dense_Net
gptkb:Inception_Network
|
gptkbp:is_enhanced_by
|
gptkb:Batch_Normalization
|
gptkbp:is_evaluated_by
|
gptkb:CIFAR-10
gptkb:COCO_dataset
gptkb:Fashion_MNIST
F1 Score
Top-1 Accuracy
Top-5 Accuracy
Street View House Numbers
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
gptkbp:is_known_for
|
gptkb:Deep_Residual_Learning
Robustness
High Performance
Skip Connections
Layer-wise Training
|
gptkbp:is_optimized_for
|
High Accuracy
|
gptkbp:is_part_of
|
gptkb:AI_Research
gptkb:Res_Net_family
gptkb:Image_Net_Challenge
Deep Learning Frameworks
Neural Network Architectures
|
gptkbp:is_popular_in
|
Academic Publications
|
gptkbp:is_recognized_for
|
High Efficiency
State-of-the-art Results
|
gptkbp:is_supported_by
|
NVIDIAGP Us
|
gptkbp:is_tested_for
|
gptkb:Pascal_VOC
Kaggle Competitions
|
gptkbp:is_used_by
|
gptkb:physicist
|
gptkbp:is_used_for
|
Feature Extraction
Scene Recognition
|
gptkbp:is_used_in
|
Image Recognition
Medical Imaging
|
gptkbp:is_utilized_in
|
gptkb:Autonomous_Vehicles
Object Detection
Facial Recognition
Semantic Segmentation
|
gptkbp:performance
|
Image Classification
Deep Learning Models
|
gptkbp:suitable_for
|
gptkb:streaming_service
|
gptkbp:training
|
gptkb:Image_Net_dataset
Stochastic Gradient Descent
Data Augmentation
|
gptkbp:uses
|
Residual Learning
|