dcgan_code
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Newmu
Deep Convolutional Generative Adversarial Networks
Hi, after playing with your code and getting very good results with it as it is, I am now looking to try other architectures and modify it. I want to...
i don't have gpu, how can i use it with cpu. And i also want to know which part of your code is about "discriminator as a pre-trained net for...
I see this in the ops.py `def conv_cond_concat(x, y): """ concatenate conditioning vector on feature map axis """ return T.concatenate([x, y*T.ones((x.shape[0], y.shape[1], x.shape[2], x.shape[3]))], axis=1) ` does it really mean...
In looking at manifolds in my own experiments, I have noticed a consistent "dead zone" near the origin of the latent space. Here is an example generated with `faces/train_uncond_dcgan.py` and...
I trained dcgan on my own dataset, and now i want to use this net for image retrieval now i have the generator network, that takes a length 100 encoding...
what is the best way to make this work effectively on binary data? i'm assuming the network won't learn to output binary on its own, even if all the inputs...
Could someone tell me how to generate a single sample? For a single input, batchnorm changes it to [0, 0, 0...], so generated images are always the same no matter...
Given a set of pictures, it's unclear how to create a correctly formatted dataset. I understand if the pictures used cannot be made available, but could you please share whatever...
this will allow usage of fuel built in data-sets https://github.com/Newmu/dcgan_code/issues/10#issuecomment-159743526
Unless I'm missing something, I think there was a typo in the mnist file names. eg: they didn't match the names in [the Theano tutorial](https://github.com/Newmu/Theano-Tutorials/blob/49de4c52f45ab7b05cea3dbad039270f816be70c/load.py#L16-L28).