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Discrete Celeba Experiment

Open PierfrancescoArdino opened this issue 6 years ago • 3 comments

Hi, I'm trying to do a porting from Theano to Tensorflow of this library. Is there a way to know the parameters used for the Celeba experiment?

And second, why using the disconnected_grad after the multinomial distribution in the multi_loss?

Thank you and goodbye

PierfrancescoArdino avatar May 28 '18 15:05 PierfrancescoArdino

It's been a while since I've looked at this code, but the disconnected_grad is a trick to specify a loss such that their gradient looks like the importance sampled version.

rdevon avatar Sep 15 '18 21:09 rdevon

Ok thanks, anyway we have successfully made a working version for tensorflow

PierfrancescoArdino avatar Sep 15 '18 21:09 PierfrancescoArdino

hey, i am also interested in an example for discretised celeba, any way you could make the tensor flow version available @PierfrancescoArdino ?

falcowinkler avatar Sep 28 '18 10:09 falcowinkler