Comments (2)
from dagan.
Thanks for the quick response. I am trying on 2D data with gaussian classes. I am trying to learn from 3 classes and trying generate samples for the 4th class for which only a single sample exists. The results look something like this -
Here the 3 training classes are blue, red and black centered at (-3,3), (3,3,) and (0,0) and I am trying to generate samples from the 4th class using a sample centered at (-3,-3) but it would not generate the correct distribution
Any reason this toy problem won't work ? Less Data or Less no. of classes or anything.
from dagan.
Related Issues (20)
- Issues met when generating data
- Cross Domain Dataset HOT 5
- vgg_face_data.npy dtype HOT 3
- DenseNet classifier
- Question about experiment setting in the paper HOT 2
- training time HOT 4
- can I use DAGAN for binary classes HOT 1
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- augment new images HOT 4
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- BUG report: change height and width in architecture
- how many times it will cost to train the model
- Can I get the model that you trained by the default paramaters.
- ResourceExhaustedError when using a new dataset with only 3000 images HOT 3
- how to use emnist HOT 1
- Where is the .ckpt files? HOT 1
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from dagan.