|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:applies_to
|
Image Classification
|
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
|
|
gptkbp:coat_of_arms
|
121
|
|
gptkbp:developed_by
|
Gao Huang
|
|
gptkbp:has
|
Feature Maps
Global Average Pooling Layer
|
|
gptkbp:has_achievements
|
High Accuracy
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Dense Net-121
|
|
gptkbp:is_available_in
|
gptkb:Graphics_Processing_Unit
gptkb:Keras
gptkb:Py_Torch
|
|
gptkbp:is_compared_to
|
gptkb:Res_Net
|
|
gptkbp:is_evaluated_by
|
Top-1 Accuracy
Top-5 Accuracy
|
|
gptkbp:is_known_for
|
Parameter Efficiency
|
|
gptkbp:is_optimized_for
|
GPU Training
|
|
gptkbp:is_part_of
|
gptkb:Dense_Net_Family
|
|
gptkbp:is_related_to
|
gptkb:streaming_service
Gradient Flow
Feature Reuse
|
|
gptkbp:is_used_in
|
Object Detection
Medical Imaging
|
|
gptkbp:performance
|
gptkb:software_framework
gptkb:museum
gptkb:Few-Shot_Learning
gptkb:Zero-Shot_Learning
gptkb:Image_Net_Challenge
Anomaly Detection
Image Generation
Semi-Supervised Learning
Unsupervised Learning
Active Learning
Image Segmentation
Face Recognition
Domain Adaptation
Adversarial Training
Generative Models
Video Analysis
Object Recognition
Semantic Segmentation
Scene Understanding
Metric Learning
Multi-Task Learning
Action Recognition
Self-Supervised Learning
Visual Recognition Tasks
Contrastive Learning
Transferable Learning
|
|
gptkbp:training
|
gptkb:Image_Net
gptkb:CIFAR-10
|
|
gptkbp:uses
|
gptkb:Batch_Normalization
gptkb:Dropout
Pooling Layers
Dense Connectivity
Re LU Activation Function
|
|
gptkbp:year_created
|
gptkb:2017
|
|
gptkbp:bfsParent
|
gptkb:Dense_Net
|
|
gptkbp:bfsLayer
|
4
|