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I think so.
Discriminator can always classify fake and real waveform created by generator.
If this happens, learning will not proceed.
Therefore, I recommend setting the hyper parameters appropriately(e.g., learning rate or learning scheduling).
When training in my datasets, I find the print log "Discriminator Loss is 0.000". Will it affect my training process and convert result?
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