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Problem with MNIST DCGANs tutorial #391
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Comments above refer to the version on fluxml.github.io, which FluxML/fluxml.github.io#156 has deleted. Moving the issue to the model zoo. |
I ran into the same problem with the current official doc tutorial. After a lot of investigation (and being unfamiliar with Flux and API changes), I figured that the code showed there had been updated to match the new API by this commit. I think the official tutorial need update, it is very confusing for new Flux user. |
The top post links a version deleted from the website, the plan was to move these into the docs & update them. What you link as the "official tutorial" is the result of half this plan being done, but notice these are still hidden from the side-bar, as nobody got around to updating them (or better, arranging to have them automatically tested by CI). As you say, the model zoo version was updated in #373. These changes could be copied back to the one in the docs. But perhaps it would be better just to delete the doc version, and have only the zoo version? I think the version in the model zoo does run. But does it solve the issue reported here, "generated images are just grey with some tiny fluctuations"? I don't recall whether I looked into this in #373. |
Yes it does solve the problem! I tried the code. Why not have a doc for model-zoo obtained from the scripts + |
Literate.jl integration was attempted at one point, but people ran out of time/interest before it could be implemented. Given there's not enough time to go around to keep even a lot of the model zoo up to date, we'd need a pretty significant contribution to get that running. |
Trying to get into Flux.jl, I found this tutorial about using DCGANs with MNIST. After going through the tutorial and transferring all the code to a file, the generator didn't seem to perform very well. In the end, the generated images are just grey with some tiny fluctuations. The image includes plots of both losses. My code (inside .zip) basically only differs from the tutorial in trying to plot the histories of the losses.
FluxDCGANtutorial.zip
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