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Hi
I tried to train GAN model with PlaidML (to testing conv2d_transposed).
But error occurred in backend.py
```bash
$ python mnist_cond_gan_plaidml.py
Discriminator model:
INFO:plaidml:Open…
shi3z updated
6 years ago
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Currently:
- the visualizations are not paper/print friendly.
- It is also not possible to zoom or drag the network, creating problems for larger graphs.
- Implementation is not very extensible a…
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I came across this article http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow/ and I am impressed by how you used a toy example of 1-D gaussian distribution to explain…
ghost updated
7 years ago
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Nice implementation!
I am just wondering your choice of the last layer activation function of the discriminator. Since it looks a bit weird to me to minimizes regression loss on a sigmoid output. Se…
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There has been some complaints about the documentation quality of MXNet. We actually have a lot of documents, but they are a bit scattered and maybe difficult to locate. In this issue, we attempt to m…
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Hi, thanks for your excellent work.
I found your code train discriminator for 15 epoches for each step of generator. It seems is totally an unfair strategy. How do you choose this strategy?
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I know that there is the AutoEncoder layer, however important concepts such as DBNs + RBMs are not implemented. Is keras intended to be a framework for purely supervised learning methods? If not, I co…
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Here is also the link to our code:
https://github.com/LukasMosser/PorousMediaGan
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hello, @Ldpe2G
what's the error of GAN-D value at the end of your training? this issue is the same to
https://github.com/tqchen/mxnet-gan/issues/7
in your https://github.com/Ldpe2G/DeepLearningFor…
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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…