Comments (2)
Intuitively, the goal of the generator is to deceive the discriminator. Hence, it needs to be updated in a way the discriminator will output ones for the generated images. Instead of optimizing the original GAN objective, the way it is implemented in the release leads to more stable training. This is a common way of implementing the GAN learning algorithm. You could check out Goodfellow et al.'s NIPS'14 paper to see the description.
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Thank you very much. I get it!
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Related Issues (20)
- Unable to reproduce your gta2city results using parallel GPUs HOT 1
- Importance of data augmentation HOT 1
- [paper] extra single bracket HOT 1
- Image links are 404 in TUTORIAL.md HOT 1
- Train with lower precision HOT 1
- Hello, I am trying to train my own dataset, but how are the image naming rules under the trainA and trainB folders named? HOT 1
- Winter<->Summer Pretrained model or dataset. HOT 1
- Problem of train
- Conversion from visual images to infrared images HOT 1
- Testing on a single image HOT 2
- Difference between results with/without shared weights HOT 2
- THEORETICAL QUESTION ABOUT THE MODEL HOT 1
- Pytorch does not support torch.utils.serialization anymore HOT 1
- question about testing。 HOT 1
- Error to import torch.utils.serialization HOT 2
- NotFoundError: NewRandomAccessFile failed to Create/Open: images/labelmap.pbtxt : The system cannot find the file specified; No such file or directory HOT 1
- I can not find day2night weights.
- question about training HOT 1
- Weight sharing part
- vgg16.t7 pretrained model?
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