COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks

12 Dec 2019 • Victor Costa • Nuno Lourenço • João Correia • Penousal Machado

Generative adversarial networks (GAN) present state-of-the-art results in the generation of samples following the distribution of the input dataset. However, GANs are difficult to train, and several aspects of the model should be previously designed by hand... (read more)

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METHOD	TYPE
Random Search	Hyperparameter Search
Leaky ReLU	Activation Functions
ReLU	Activation Functions
Batch Normalization	Normalization
DCGAN	Generative Models
Convolution	Convolutions
GAN	Generative Models

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Random Search