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Papers:
- [DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder](https://arxiv.org/abs/1805.12352) - The most interesting paper currently in my opinion - GAN trained en…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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recently, i recover your excellent work hashNet,and find that the mAP in cifar10 is near 0.8 which is higher than that report in your follow-up work hashGANs
but not merely so,
In your paper, you re…
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Hi,
I work with Conditional GANs and in the last days I'm working with Conditional Wasserstein GAN keras implementation, starting from this code:
[https://github.com/tdeboissiere/DeepLearningImpleme…
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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…