Submitted by manli29 t3_yb851q in deeplearning
kaarrrlll t1_itfyuqj wrote
Having two gans is not a problem. Although for different purpose it exists since a long time (cyclegan). What's important is that your loss and/or other constraints must be precise to make sure to avoid one gan learns both and other learns identity. It's also double the concerns for instability during training. Good luck!
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