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gptkbp:instance_of
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gptkb:neural_networks
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gptkbp:architecture
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gptkb:Deep_Learning
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gptkbp:coat_of_arms
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121
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gptkbp:developed_by
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Gao Huang
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gptkbp:has
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Feature Maps
Global Average Pooling Layer
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gptkbp:has_achieved
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High Accuracy
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https://www.w3.org/2000/01/rdf-schema#label
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Dense Net-121
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gptkbp:is_applied_in
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Image Classification
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gptkbp:is_available_in
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gptkb:Tensor_Flow
gptkb:Keras
gptkb:Py_Torch
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gptkbp:is_compared_to
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gptkb:Res_Net
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gptkbp:is_evaluated_by
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Top-1 Accuracy
Top-5 Accuracy
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gptkbp:is_known_for
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Parameter Efficiency
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gptkbp:is_optimized_for
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GPU Training
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gptkbp:is_part_of
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gptkb:Dense_Net_Family
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gptkbp:is_related_to
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gptkb:stage_adaptation
Gradient Flow
Feature Reuse
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gptkbp:is_trained_in
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gptkb:Image_Net
gptkb:CIFAR-10
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gptkbp:is_used_in
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Object Detection
Medical Imaging
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gptkbp:performance
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gptkb:art
gptkb:Federated_Learning
gptkb:machine_learning
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
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gptkbp:uses
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gptkb:Batch_Normalization
gptkb:Dropout
Pooling Layers
Dense Connectivity
Re LU Activation Function
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gptkbp:year_established
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gptkb:2017
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gptkbp:bfsParent
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gptkb:Dense_Net
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gptkbp:bfsLayer
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5
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