Deep Residual Learning

GPTKB entity

Properties (51)
Predicate Object
gptkbp:instanceOf software
gptkbp:addresses Vanishing Gradient Problem
gptkbp:appliesTo gptkb:Convolutional_Neural_Networks
gptkbp:completed State-of-the-art Performance
gptkbp:developedBy gptkb:Kaiming_He
gptkbp:enables Very_Deep_Networks
gptkbp:hasRelatedPatent Object Detection
Image Segmentation
https://www.w3.org/2000/01/rdf-schema#label Deep Residual Learning
gptkbp:improves Training of Deep Neural Networks
gptkbp:introduced 2015
gptkbp:isAttendedBy gptkb:Microsoft
gptkb:Google
Facebook
NVIDIA
gptkbp:isDocumentedIn Research Papers
Conference Proceedings
Technical Reports
Journal Articles
gptkbp:isEvaluatedBy gptkb:ImageNet_Dataset
F1 Score
Mean Average Precision
COCO Dataset
Top-1 Accuracy
Top-5 Accuracy
CIFAR-10 Dataset
gptkbp:isExaminedBy Online Courses
Blogs
Tutorials
Webinars
gptkbp:isInfluencedBy DenseNet
Highway_Networks
gptkbp:isLocatedIn gptkb:PyTorch
TensorFlow
gptkbp:isPartOf gptkb:Traditional_Neural_Networks
AI Research
Deep_Learning_Frameworks
Inception_Networks
ResNet_Architecture
gptkbp:isPopularIn Computer_Vision
gptkbp:isRelatedTo Transfer Learning
Feature Extraction
gptkbp:isSupportedBy Data Augmentation
Dropout
Batch Normalization
gptkbp:isUsedIn gptkb:Autonomous_Vehicles
Video Analysis
Facial_Recognition
Medical_Image_Analysis
gptkbp:usedIn Image Classification
gptkbp:utilizes Residual Connections