gptkbp:instance_of
|
gptkb:television_channel
|
gptkbp:bfsLayer
|
8
|
gptkbp:bfsParent
|
gptkb:Cresnet_50
|
gptkbp:architectural_style
|
gptkb:Residual_Network
|
gptkbp:coat_of_arms
|
gptkb:television_series
|
gptkbp:competes_with
|
VGG Net
|
gptkbp:developed_by
|
gptkb:Kaiming_He
Backpropagation
Deep Learning Frameworks
|
gptkbp:has
|
Multiple Variants
|
gptkbp:has_achievements
|
High Accuracy
|
https://www.w3.org/2000/01/rdf-schema#label
|
Cresnet 20
|
gptkbp:improves
|
Gradient Flow
|
gptkbp:input_output
|
32x32 pixels
|
gptkbp:is_adopted_by
|
Industry Applications
|
gptkbp:is_analyzed_in
|
Machine Learning Studies
|
gptkbp:is_compared_to
|
gptkb:Res_Net-50
|
gptkbp:is_designed_for
|
Image Classification
|
gptkbp:is_documented_in
|
Research Papers
|
gptkbp:is_enhanced_by
|
Data Augmentation
|
gptkbp:is_evaluated_by
|
gptkb:Image_Net
Cross-Validation
Performance Metrics
Confusion Matrix
Other CN Ns
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
gptkbp:is_influenced_by
|
Highway Networks
|
gptkbp:is_integrated_with
|
Other Neural Networks
|
gptkbp:is_known_for
|
Feature Learning
Scalability
Robustness
Reducing Overfitting
Deep Learning Performance
|
gptkbp:is_optimized_for
|
Speed and Accuracy
|
gptkbp:is_part_of
|
gptkb:AI_Research
Deep Learning Models
CIFAR-10 Benchmark
Neural Network Family
|
gptkbp:is_popular_in
|
gptkb:Research_Institute
|
gptkbp:is_related_to
|
gptkb:Deep_Residual_Learning
|
gptkbp:is_supported_by
|
Community Contributions
|
gptkbp:is_tested_for
|
gptkb:software
Various Datasets
Synthetic Datasets
|
gptkbp:is_used_in
|
Academic Research
Automated Systems
Feature Extraction
Computer Vision Tasks
|
gptkbp:is_utilized_in
|
Image Processing
Image Recognition
Real-Time Applications
|
gptkbp:performance
|
Neural Network Architectures
|
gptkbp:supports
|
gptkb:streaming_service
|
gptkbp:training
|
gptkb:CIFAR-10_Dataset
|
gptkbp:uses
|
Skip Connections
|
gptkbp:utilizes
|
gptkb:Batch_Normalization
|
gptkbp:year_created
|
gptkb:2015
|