Cresnet 20

GPTKB entity

Statements (58)
Predicate Object
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