Comments (1)
@borgr You mean the dropout in the discriminator? In the tensorflow API, the parameter means the probability of keeping the values. Therefore, 1.0 means that we did not use any dropout in our discriminator. However, you can test different values for the dropout.
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Related Issues (20)
- Preprocessing of en2de data HOT 4
- InvalidArgumentError: Assign requires shapes of both tensors to match.
- Clarification on files in config_gan_train.yaml HOT 5
- How to get the vocab files? HOT 7
- NoneType HOT 2
- file not found HOT 1
- the g_loss in function gan_output (in model.py) HOT 1
- Hi,Where is the training data? Thanks.
- Mistake in vocab.py?
- How to get the dis_negative_data in the config_discriminator_pretrain.yaml? HOT 2
- dis_saveto HOT 10
- list index out of range HOT 2
- Can't find data
- GAN training is too slow.
- dis_negative_data HOT 2
- the Adversal training is very very very slow!!!!
- About discriminator
- Nmt GANs
- Training data size for the generator and discriminator HOT 1
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