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An implementation of VAEGAN (variational autoencoder + generative adversarial network).

License: MIT License

Python 100.00%

deep-learning generative-adversarial-network variational-autoencoder

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rhythm92 flybirdwww apjacob johndpope pandamax bxclib rasonliu ishandutta2007 currentjobs jasgrewal jaykimbravekjh 459548764 amirjaber ana-kh xkotaro weikanggong kayusme lkf59553

vaegan's Issues

Batch Norm at test mode

Hi,
Thanks for the nice code.

It seems that the batch norm implementation does not consider if it is train mode or test mode. So, at test mode the result depends on the batch size and the examples in each batch.

trained model

Would it be possible to upload a pretrained model?

Thank you.

On the original code the recon_depth is 9.

I feel that the image_feature should be h4 before activation function and batch normalization. Did you guys try to do it based on the paper writer's code?

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