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I am sorry I am a little confused about the training of the WGAN-GP. Does it train the discriminator five times and the generator one time alternately?
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Hi, I'm trying to train EDSR_baseline_x4 with WGAN-GP, but I don't know how to do it. I want to ask the following questions:
1. In the discriminator, should batch normalization be removed? (I see tha…
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hi, i believe the implementation of wgan-gp is buggy. the interpolation in https://github.com/eriklindernoren/PyTorch-GAN/blob/8aff6caf1144501355c5cc8746b119a907edfe67/implementations/wgan_gp/wgan_gp.…
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Wgan gives error when I run the code
Traceback (most recent call last):
File "wgan.py", line 190, in
wgan = WGAN()
File "wgan.py", line 33, in __init__
self.critic = self.build_cri…
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Running wgan.py:
```
Traceback (most recent call last):
File "wgan.py", line 179, in
gen_validity.backward(valid)
File "/home/alcaster/.pyenv/versions/ml/lib/python3.6/site-packages/torc…
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Hello, I'm trying to train the model. However it is hard to download the entire dataset and perform training because of the hardware constrain. Meanwhile, when downloading the dataset, there are error…
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Hi I have been messing around with the Repo and I have lately been experimenting with switching out the relu activations in the gan_cifar.py with elu activations, however even with varying the lambda …
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So I am researching in language models that can generate words.
Your results showed that RNN + GANs improves the quality of generated sequences compared to CNN+GANs.
But do you think that the comb…
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Two minor improvements to your WGAN code:
- The discriminator is called critic now, as it's not computing a probability anymore
- At line 149 you have
`d_loss = 0.5 * np.add(d_loss_fake, d_loss_rea…
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I just trained the net as your "README.md" writes. While the samples are broken, and the loss is very big.
![008500](https://user-images.githubusercontent.com/28215086/39295311-a737abc2-4970-11e8-92a…