pytorch-generative-adversarial-networks
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devnag
A very simple generative adversarial network (GAN) in PyTorch
When using the raw data [ (name, preprocess, d_input_func) = ("Raw data", lambda data: data, lambda x: x) ], the 'fake' distribution can not match the 'real' one even under...
I have seen your article ”Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)“ in Medium. Your work inspire me a lot, so I want to cite your work...
https://github.com/devnag/pytorch-generative-adversarial-networks/blob/dc8685caf88bb028fa077cf59bed4ff2360f755a/gan_pytorch.py#L167 Nothing is being detached, so does this train the discriminator?
Sorry,I want to get detailed information from your code,but I can't open the link.I don't know why,can you help me?
我长期研究和改进GAN，如果对GAN或者深度学习感兴趣的可以联系我，联系方式，wechat: lovedaixiaobaby
