Dense Net-201

GPTKB entity

Statements (60)
Predicate Object
gptkbp:instance_of gptkb:neural_networks
gptkbp:architecture gptkb:Deep_Learning
gptkbp:coat_of_arms 201
gptkbp:developed_by Gao Huang
gptkbp:has Fully Connected Layer
Dense Blocks
Global Average Pooling Layer
Transition Layers
gptkbp:has_achieved High Accuracy
https://www.w3.org/2000/01/rdf-schema#label Dense Net-201
gptkbp:is_applied_in Image Classification
gptkbp:is_compared_to gptkb:Res_Net
gptkbp:is_evaluated_by Robustness
Generalization Ability
Top-1 Accuracy
Top-5 Accuracy
gptkbp:is_implemented_in gptkb:Tensor_Flow
gptkb:Py_Torch
gptkbp:is_influenced_by gptkb:Inception_Network
gptkb:VGGNet
gptkbp:is_known_for Reducing Overfitting
Improved Gradient Flow
Feature Reuse
High Parameter Efficiency
Improving Model Interpretability
gptkbp:is_optimized_for Memory Efficiency
gptkbp:is_part_of gptkb:Computer_Vision
gptkb:Artificial_Intelligence
gptkb:Dense_Net_Family
Deep Learning Frameworks
gptkbp:is_related_to gptkb:stage_adaptation
Fine-tuning
gptkbp:is_supported_by gptkb:NVIDIA_GPUs
gptkb:TPUs
gptkbp:is_trained_in gptkb:Image_Net
gptkb:CIFAR-10
gptkbp:is_used_in gptkb:Augmented_Reality
gptkb:art
gptkb:Autonomous_Vehicles
gptkb:Natural_Language_Processing
gptkb:speeches
gptkb:robotics
Anomaly Detection
Object Detection
Time Series Analysis
Facial Recognition
Image Restoration
Generative Models
Video Analysis
Semantic Segmentation
Medical Image Analysis
gptkbp:performance gptkb:Image_Net_Challenge
Visual Recognition Tasks
gptkbp:uses gptkb:Batch_Normalization
gptkb:Dropout
Dense Connectivity
Re LU Activation Function
gptkbp:year_established gptkb:2017
gptkbp:bfsParent gptkb:Dense_Net
gptkbp:bfsLayer 5