Least Squares Generative Adversarial Networks

Unsupervised learning with generative adversarial networks (GANs) has proven hugely successful. Regular GANs hypothesize the discriminator as a classifier with the sigmoid cross entropy loss function... (read more)

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Methods used in the Paper


METHOD TYPE
ReLU
Activation Functions
Batch Normalization
Normalization
Dense Connections
Feedforward Networks
Convolution
Convolutions
Leaky ReLU
Activation Functions
GAN Least Squares Loss
Loss Functions
RMSProp
Stochastic Optimization
Adam
Stochastic Optimization
LSGAN
Generative Models