Convolutional Neural Network (CNN)

GPTKB entity

Predicate	Object
gptkbp:instance_of	gptkb:neural_networks
gptkbp:applies_to	2 D Data 3 D Data
gptkbp:based_on	Convolutional Layers Pooling Layers Activation Functions
gptkbp:developed_by	gptkb:Yann_Le_Cun
gptkbp:has_applications_in	gptkb:Augmented_Reality gptkb:Autonomous_Vehicles Facial Recognition Medical Imaging Video Analysis
gptkbp:has_component	Filters Feature Maps Fully Connected Layers Dropout Layers
gptkbp:has_limitations	Computationally Intensive Overfitting Risk Requires Large Datasets
https://www.w3.org/2000/01/rdf-schema#label	Convolutional Neural Network (CNN)
gptkbp:is_enhanced_by	gptkb:stage_adaptation Data Augmentation Regularization Techniques
gptkbp:is_evaluated_by	Accuracy F1 Score Precision Recall
gptkbp:is_implemented_in	gptkb:Tensor_Flow gptkb:Keras gptkb:Py_Torch
gptkbp:is_influenced_by	Biological Neural Networks Visual Cortex
gptkbp:is_popular_in	gptkb:Computer_Vision gptkb:Deep_Learning
gptkbp:is_related_to	gptkb:Artificial_Intelligence gptkb:Pattern_Recognition gptkb:machine_learning gptkb:Deep_Learning
gptkbp:is_used_in	gptkb:Retail gptkb:robotics gptkb:Gaming Finance Security Systems
gptkbp:training	Backpropagation Stochastic Gradient Descent
gptkbp:used_for	Image Classification Image Recognition Object Detection
gptkbp:bfsParent	gptkb:Deep_Residual_Learning_for_Image_Recognition
gptkbp:bfsLayer	5