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# Resumen
Pseudocódigo de WGAN con penalización en el gradiente. Usando los valores por defecto $\lambda = 10, n_{critic} = 5, \alpha = 0.0001, \beta_1 = 0, \beta_2 = 0.9$
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Requiere: Coeficiente …
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https://arxiv.org/abs/1703.10717
## 参考
* http://musyoku.github.io/2017/04/16/Boundary-Equilibrium-Generative-Adversarial-Networks/
* https://blog.heuritech.com/2017/04/11/began-state-of-the-art…
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When I tried wgan-gp on my own problems, sometimes I got very unbalanced losses (e.g. the loss of discriminator is high, but the loss of generator is around 0. See [this](https://github.com/wchen342/m…
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Hello, I have a question
line 267 in mentioned file
interpolates = alpha * gt + ((1 - alpha) * fake_img)
What is fake_img? It's not defined anywhere, from what variable / func I should get it?
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Hello author, thank you for sharing your code, I am very interested in your work. I read your paper and am very curious about the training details. Could you please provide the training code, because …
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Hello,
In the lines 225-226 of the main.py should not it be errG.backward(mone) (minus sign) and not :
```python3
errG = netD(fake)
errG.backward(one)
```
Similar to this (line 135): https…
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Sorry to bother you, I am new so I have too many problems... why we use gen_cost.backward(mone) rather than gen_cost.backward(one)? I think in WGAN it should be gen_cost.backward(one) - refers to the …
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I noted that you only use one backward() when training D, and many authors use two, how do u think about it?
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I'm trying to train a simple GAN on GPU with Keras. I verified that the code runs with CPU on my laptop. Then, I added multi_gpu_model as per below to enable it to run on a set of GPUs. However, I am …
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This code: https://github.com/keras-team/keras-contrib/blob/master/examples/improved_wgan.py
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Colab Jupyter Notebook
- TensorFlow backend…
jmpr0 updated
3 years ago