GAN

GPTKB entity

Statements (47)
Predicate Object
gptkbp:instance_of gptkb:Ganon
gptkb:machine_learning
gptkbp:challenges Hyperparameter tuning
Mode collapse
Training instability
Evaluation metrics
Resource intensiveness
gptkbp:developed_by gptkb:Ian_Goodfellow
gptkbp:has_applications_in Art generation
Super-resolution imaging
3 D object generation
Face aging
Image inpainting
gptkbp:has_impact_on Improves image quality
Enhances data diversity
Reduces mode collapse
gptkbp:has_influence_on Game development
Data science methodologies
Creative AI applications
Research in generative models
Synthetic media production
gptkbp:has_limitations Requires large datasets
Can produce artifacts
Difficult to evaluate output quality
Sensitive to architecture choices
Training can be time-consuming
gptkbp:has_part gptkb:Energy
Discriminator
gptkbp:has_type gptkb:Wasserstein_GAN
gptkb:Conditional_GAN
gptkb:Cycle_GAN
gptkb:Pix2_Pix
gptkb:Style_GAN
https://www.w3.org/2000/01/rdf-schema#label GAN
gptkbp:introduced_in gptkb:2014
gptkbp:related_to gptkb:Artificial_Intelligence
Deep learning
Computer vision
Neural networks
Adversarial training
Unsupervised learning
gptkbp:used_for Data augmentation
Image generation
Video generation
Text-to-image synthesis
gptkbp:bfsParent gptkb:Rubik's_Cube
gptkbp:bfsLayer 5