Hi,
I am training a CycleGAN but the log file(Tensorbaord scalar) for both G and D is confusing to me.
As it written in the paper, G aims to minimize the objective against an adversary D that tries
to maximize it.
At the beginning of training, G is tried to minimize but after 60 epochs start to maximize also D is tried to maximize at the beginning and then start to minimize after epoch 60. I want to know the intuition behind of it. any idea?
should not model to minimize G and maximize D all the time, why after some epochs generators start to maximize and discriminator minimize?
Hi, I am training a CycleGAN but the log file(Tensorbaord scalar) for both G and D is confusing to me. As it written in the paper, G aims to minimize the objective against an adversary D that tries to maximize it.
At the beginning of training, G is tried to minimize but after 60 epochs start to maximize also D is tried to maximize at the beginning and then start to minimize after epoch 60. I want to know the intuition behind of it. any idea?
should not model to minimize G and maximize D all the time, why after some epochs generators start to maximize and discriminator minimize?
Tensorboard scalar: https://imgur.com/rdTxrUP
Thanks in advance.