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License: MIT License
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
License: MIT License
usually the latent variable (z) is uni modal and the data distribution (x) is multi-modal and GAN fails in finding some of the data modes. It's the other way around in your example. Was it intended?
Would be cool to try VEEGAN on the new Fashion-MNIST
dataset, which has more diversity in each class. https://github.com/zalandoresearch/fashion-mnist
There is also a notebook with side-by-side comparison of different GANs. Results on Fashion-MNIST is more interesting than the original MNIST. https://github.com/hwalsuklee/tensorflow-generative-model-collections
hi i use tf.1.8.0. so i want to run your code. but it is not worked .
"tf.contrib.bayesflow.stochastic_tensor" is not appear
can you update this code?
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