|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:applies_to
|
Image Classification
|
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
|
|
gptkbp:coat_of_arms
|
264
|
|
gptkbp:developed_by
|
Gao Huang
|
|
gptkbp:has
|
Feature Maps
Growth Rate
|
|
gptkbp:has_achievements
|
High Accuracy
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Dense Net-264
|
|
gptkbp:is_adopted_by
|
gptkb:film_production_company
gptkb:Research_Institute
|
|
gptkbp:is_characterized_by
|
Compression Factor
Dense Blocks
Transition Layers
|
|
gptkbp:is_compared_to
|
gptkb:Res_Net
|
|
gptkbp:is_evaluated_by
|
gptkb:Pascal_VOC
gptkb:SVHN
gptkb:Celeb_A_Dataset
gptkb:Fashion_MNIST
gptkb:MNIST
gptkb:COCO_Dataset
Top-1 Accuracy
Top-5 Accuracy
LFW Dataset
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:Residual_Networks
VGG Net
|
|
gptkbp:is_known_for
|
Scalability
Robustness
High Performance
Gradient Flow
Parameter Efficiency
Efficient Parameter Usage
|
|
gptkbp:is_optimized_for
|
GPU Training
|
|
gptkbp:is_part_of
|
gptkb:viewpoint
|
|
gptkbp:is_related_to
|
gptkb:streaming_service
|
|
gptkbp:is_supported_by
|
gptkb:DJ
gptkb:Google_Cloud
gptkb:AWS
|
|
gptkbp:is_used_for
|
Feature Extraction
Fine-tuning
|
|
gptkbp:is_used_in
|
gptkb:musician
gptkb:Autonomous_Vehicles
gptkb:software
gptkb:robot
Object Detection
Facial Recognition
Medical Imaging
Semantic Segmentation
|
|
gptkbp:performance
|
gptkb:Image_Net_Challenge
|
|
gptkbp:supports
|
Multi-Task Learning
|
|
gptkbp:training
|
gptkb:Image_Net
gptkb:CIFAR-10
|
|
gptkbp:uses
|
gptkb:Batch_Normalization
gptkb:Dropout
Dense Connectivity
Re LU Activation Function
|
|
gptkbp:year_created
|
gptkb:2017
|
|
gptkbp:bfsParent
|
gptkb:Dense_Net
|
|
gptkbp:bfsLayer
|
4
|