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I know this might be a bit strange, but I think it would be useful at least to have an option of an empirical distribution. This would make for instance specifying the "inference" networks more symmet…
botev updated
6 years ago
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I think our current model with `TensorGraph` can't nicely support GANs. In order to train GANs, you need to train both a discriminator `D` and a generator `G`. The training of these two models is thre…
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Hello, I am trying to run experiment.py but I am getting this error:
`Traceback (most recent call last):
File "experiment.py", line 9, in
import data_utils
File "RGAN/data_utils.py", li…
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Hi @hindupuravinash, I noticed that for Conditional GANs (CGANs) a recent work is reported (https://arxiv.org/abs/1703.06029), but the method was already introduced in 2014 (https://arxiv.org/abs/1411…
Banus updated
7 years ago
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Hi, I get the following error while running python main.py --operation 1 , using MNIST dataset.
Traceback (most recent call last):
File "main.py", line 30, in
tf.app.run()
File "/Users/…
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The paper has suggested to use a combination of both the GAN loss and L1 loss. But by turning off the GAN loss by setting use_GAN=0, I actually got much more detailed model outputs on the edges2shoes …
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Hey, this is super useful, but in a quick glance if I'm looking for something that came out only in (let's say), the last 2 years, it'd be more informative to add the years of release next to the name…
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@arahuja has some ideas on this one.
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@fchollet Since we're not adding much to the repo at this stage (in terms of layers, loss functions, callbacks, etc.), we've talked quite a bit about an external repo for user/additional contributions…
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