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gptkbp:instance_of
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gptkb:machine_learning
|
|
gptkbp:can_lead_to
|
mode collapse
training instability
|
|
gptkbp:composed_of
|
gptkb:Energy
discriminator
|
|
gptkbp:developed_by
|
gptkb:Ian_Goodfellow
|
|
gptkbp:has_applications_in
|
gptkb:Artificial_Intelligence
computer vision
text-to-image synthesis
video generation
|
|
gptkbp:has_impact_on
|
art generation
image super-resolution
style transfer
deepfake technology
|
|
gptkbp:has_influence_on
|
gptkb:virtual_reality
gptkb:Graphics_Processing_Unit
image processing
augmented reality
research in generative models
|
|
gptkbp:has_variants
|
gptkb:Wasserstein_GAN
gptkb:Cycle_GAN
gptkb:Style_GAN
Conditional GANs
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Generative Adversarial Nets
|
|
gptkbp:inspired_by
|
minimax game theory
|
|
gptkbp:introduced_in
|
gptkb:2014
|
|
gptkbp:is_challenged_by
|
hyperparameter tuning
overfitting
evaluation metrics
training time
diversity of generated samples
|
|
gptkbp:is_evaluated_by
|
gptkb:Fréchet_Inception_Distance
Inception Score
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Keras
gptkb:Chainer
gptkb:MXNet
gptkb:Py_Torch
|
|
gptkbp:is_part_of
|
deep learning
|
|
gptkbp:is_related_to
|
gptkb:neural_networks
latent variable models
adversarial training
|
|
gptkbp:requires
|
large datasets
|
|
gptkbp:training
|
backpropagation
stochastic gradient descent
|
|
gptkbp:used_for
|
unsupervised learning
data augmentation
image generation
|
|
gptkbp:bfsParent
|
gptkb:Google_Brain
gptkb:Ilya_Sutskever
|
|
gptkbp:bfsLayer
|
4
|