how to fulfill GAN (Generative Adversarial Networks ) or DCGAN in matlab?
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Jack Xiao on 13 Jul 2018
I find that there is no example demo for GAN (Generative Adversarial Networks ) or DCGAN. I wonder how to fulfill GAN in matlab? if for GAN, is the last output of the generator RegressionOutputLayer or others?
More Answers (6)
Walter Roberson on 13 Jul 2018
Generative Adversarial Neural Networks are not available in any Mathworks product. They are not supported by the Neural Network toolbox.
Niklas on 7 Jul 2019
In our team we realize GANs with regression layers as output layer. Works fine in our cases.
You also have the possibility to define own layers: See this doc https://de.mathworks.com/help/deeplearning/ug/define-custom-deep-learning-layers.html for further Informations.
Best wishes, Niklas