Res Net101

GPTKB entity

Statements (61)
Predicate Object
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