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Hi, and thank you for a great job!
Currently, I'm trying to port DeLiGAN into DIGITS. It has a bit different way of training. The question is where or how can I alternate the training process in DIGITS + TF?
Here's how they train GAN - https://github.com/val-iisc/deligan/blob/master/src/mnist/dg_mnist.py#L180
The text was updated successfully, but these errors were encountered:
Hi, and thank you for a great job!
Currently, I'm trying to port DeLiGAN into DIGITS. It has a bit different way of training. The question is where or how can I alternate the training process in DIGITS + TF?
Here's how they train GAN - https://github.com/val-iisc/deligan/blob/master/src/mnist/dg_mnist.py#L180
The text was updated successfully, but these errors were encountered: