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The loss of the encoder and decoder is very high #7
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Two pointers:
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Hi Arun, |
Encoder and decoder loss should decrease as they learn a better mapping - I observed it in training log file. I am not sure what is wrong in your case, maybe you are seeing encoder as critic and vis-a-vis? Training of GANs are highly unstable and require a good amount of computation power. Try retraining it. |
i have use the model in my own dataset ,But after a long time of training, the loss is still very high.Can you tell me how to reduce my loss?
DEBUG:root:critic x loss -30.026 critic z loss 0.416
encoder loss 1265.846 decoder loss 1235.256
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