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gptkbp:instance_of
|
gptkb:machine_learning
|
|
gptkbp:addresses
|
Vanishing Gradient Problem
|
|
gptkbp:applies_to
|
gptkb:neural_networks
|
|
gptkbp:developed_by
|
gptkb:Kaiming_He
|
|
gptkbp:enables
|
Very Deep Networks
|
|
gptkbp:has_achieved
|
State-of-the-art Performance
|
|
gptkbp:has_variants
|
gptkb:Res_Net-101
gptkb:Res_Net-152
gptkb:Res_Net-50
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Residual Learning
|
|
gptkbp:improves
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Training of Deep Neural Networks
|
|
gptkbp:introduced_in
|
gptkb:2015
|
|
gptkbp:is_adopted_by
|
Research Institutions
Startups
Tech Companies
|
|
gptkbp:is_applied_in
|
Object Detection
Image Segmentation
|
|
gptkbp:is_associated_with
|
gptkb:Edge_Computing
gptkb:cloud_computing
High Performance Computing
|
|
gptkbp:is_cited_in
|
Academic Research
Industry Applications
Numerous Studies
|
|
gptkbp:is_considered_as
|
Breakthrough in Deep Learning
Foundation for Future Architectures
|
|
gptkbp:is_discussed_in
|
Conferences
Research Papers
|
|
gptkbp:is_evaluated_by
|
gptkb:CIFAR-10_Dataset
gptkb:COCO_Dataset
gptkb:Image_Net_Dataset
|
|
gptkbp:is_explored_in
|
gptkb:Tutorials
gptkb:Workshops
Online Courses
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:Dense_Net
Highway Networks
|
|
gptkbp:is_influential_in
|
AI Development
Machine Learning Research
|
|
gptkbp:is_part_of
|
Res Net Architecture
|
|
gptkbp:is_popular_in
|
gptkb:Computer_Vision
Deep Learning Community
|
|
gptkbp:is_recognized_by
|
gptkb:award
Competitions
|
|
gptkbp:is_related_to
|
gptkb:stage_adaptation
gptkb:Hyperparameter_Tuning
gptkb:Neural_Architecture_Search
Optimization Techniques
|
|
gptkbp:is_supported_by
|
gptkb:Batch_Normalization
gptkb:Dropout
Data Augmentation
|
|
gptkbp:is_used_in
|
gptkb:Generative_Adversarial_Networks
Facial Recognition
Medical Image Analysis
Self-Supervised Learning
|
|
gptkbp:used_in
|
Image Classification
|
|
gptkbp:utilizes
|
Residual Connections
|
|
gptkbp:bfsParent
|
gptkb:Res_Net
|
|
gptkbp:bfsLayer
|
5
|