carpedm20 / carpedm20/DCGAN-tensorflow
Best way of using the discriminator for predicting labels
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Description
As discussed here (https://github.com/carpedm20/DCGAN-tensorflow/issues/132) the discriminator requires y to be concat to both input and h0 layer.
If one was to use a trained discriminator to generate test labels, how would you go about doing this?
It might be worthwhile adding this functionality to the MNIST example
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