Generative Adversarial Network
GPTKB entity
Statements (47)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:basedOn |
Minimax Game Theory
|
| gptkbp:composedOf |
Discriminator
Generator |
| gptkbp:developedBy |
gptkb:Ian_Goodfellow
|
| gptkbp:hasRelatedPatent |
Anomaly Detection
Super Resolution Art Generation |
| gptkbp:hasVariants |
gptkb:Wasserstein_GAN
Conditional GAN CycleGAN StyleGAN |
| https://www.w3.org/2000/01/rdf-schema#label |
Generative Adversarial Network
|
| gptkbp:inspiredBy |
Adversarial Training
|
| gptkbp:introduced |
2014
|
| gptkbp:isCounteredBy |
Backpropagation
Stochastic Gradient Descent |
| gptkbp:isEvaluatedBy |
gptkb:Fréchet_Inception_Distance
Inception Score |
| gptkbp:isLocatedIn |
gptkb:PyTorch
gptkb:Keras TensorFlow |
| gptkbp:isPopularIn |
Artificial Intelligence
Deep Learning Computer_Vision |
| gptkbp:isRelatedTo |
Neural Networks
Artificial_Intelligence_Ethics Deep_Learning_Frameworks |
| gptkbp:isUsedIn |
Advertising
Fashion Design Music Generation Video Games Virtual Reality Film Production Healthcare_Imaging |
| gptkbp:isUtilizedFor |
Mode Collapse
Training Instability |
| gptkbp:mayHave |
gptkb:Synthetic_Data
Realistic Images Artistic Content 3D_Models |
| gptkbp:requires |
Large Datasets
Computational_Power |
| gptkbp:usedFor |
Image Generation
Data Augmentation Video Generation Text-to-Image Synthesis |