|
gptkb:LSGAN
|
Least squares loss
|
|
gptkb:Gatys_et_al._neural_style_transfer
|
style loss
|
|
gptkb:UNet_architecture
|
dice loss
|
|
gptkb:Variational_Autoencoders
|
reconstruction loss
|
|
gptkb:VAE_(Variational_Autoencoder)
|
gptkb:KL_divergence
|
|
gptkb:Generative_Adversarial_Nets
|
minimax loss
|
|
gptkb:V-Net
|
Dice loss
|
|
gptkb:U-Net
|
dice loss
|
|
gptkb:word2vec
|
hierarchical softmax
|
|
gptkb:Causal_language_modeling
|
Cross-entropy loss
|
|
gptkb:Pix2Pix
|
Adversarial loss
|
|
gptkb:SRGAN
|
perceptual loss
|
|
gptkb:VAE
|
reconstruction loss
|
|
gptkb:SRResNet
|
mean squared error
|
|
gptkb:Pix2Pix
|
L1 loss
|
|
gptkb:RankNet
|
cross-entropy loss
|
|
gptkb:word2vec
|
negative sampling
|
|
gptkb:Variational_Autoencoder
|
gptkb:Kullback-Leibler_divergence
|
|
gptkb:Denoising_autoencoder
|
Reconstruction loss
|
|
gptkb:WGAN
|
Wasserstein loss
|