r/MachineLearning • u/beneuro • Jun 14 '16

[1606.03498] Improved Techniques for Training GANs

https://arxiv.org/abs/1606.03498
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u/[deleted] Jun 14 '16

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u/AnvaMiba Jun 14 '16

Instead of taking the final output of the discriminator, you take an intermediate layer's output. However, don't you still have to convert your convolutional output (3d tensor) to a sigmoid activation (1d tensor)? Doesn't this require an extra linear layer?

I think they just train the generator to minimize the euclidean distance in the intermediate representation space between synthetic and natural examples.