Inception V4

GPTKB entity

Statements (64)
Predicate Object
gptkbp:instance_of gptkb:television_channel
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:Inception_V3
gptkbp:adapted_into Mobile applications
Real-time applications
gptkbp:applies_to Facial recognition
gptkbp:architectural_style gptkb:Deep_Learning
gptkbp:coat_of_arms Over 100 layers
gptkbp:developed_by gptkb:Job_Search_Engine
gptkbp:features Inception modules
https://www.w3.org/2000/01/rdf-schema#label Inception V4
gptkbp:improves gptkb:Inception_V3
gptkbp:input_output 299x299 pixels
gptkbp:is_adopted_by gptkb:Research_Institute
gptkbp:is_available_on gptkb:archive
gptkbp:is_compared_to gptkb:Res_Net
gptkbp:is_compatible_with GPU acceleration
Various hardware accelerators
gptkbp:is_documented_in Research papers
Technical documentation
gptkbp:is_enhanced_by Data augmentation techniques
gptkbp:is_evaluated_by gptkb:CIFAR-10
Performance benchmarks
Accuracy metrics
Benchmark datasets
Other CNN architectures
gptkbp:is_implemented_in gptkb:Graphics_Processing_Unit
gptkbp:is_influenced_by gptkb:Inception_V2
gptkbp:is_integrated_with Cloud services
AI platforms
gptkbp:is_known_for Scalability
Modular architecture
Flexibility in architecture
High accuracy and efficiency
gptkbp:is_optimized_for Speed and performance
gptkbp:is_part_of gptkb:Inception_family_of_models
Deep Learning frameworks
AI research projects
gptkbp:is_related_to gptkb:Artificial_Intelligence
gptkbp:is_supported_by Open-source community
Community contributions
gptkbp:is_tested_for Large-scale datasets
Various datasets
Various optimizers
gptkbp:is_used_for Image Classification
Scene recognition
gptkbp:is_used_in Autonomous vehicles
Computer Vision tasks
gptkbp:is_utilized_in Medical imaging
Image segmentation
Feature extraction
Object detection
gptkbp:performance Kaggle competitions
Image classification tasks
Top-5 accuracy of 80.2% on Image Net
gptkbp:predecessor Inception V5
gptkbp:release_year gptkb:2016
gptkbp:resolution 1000 classes
gptkbp:successor gptkb:Inception_V3
gptkbp:supports gptkb:streaming_service
gptkbp:training gptkb:Image_Net_dataset
Stochastic Gradient Descent
gptkbp:utilizes gptkb:Batch_Normalization
gptkbp:written_in gptkb:Library