Blind2Unblind
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Loss doesn't converge
Hello, I'm trying to denoise a 2D image. I add synthetic noise as follows:
np.array(np.random.poisson(0.01 * x / 0.1) / 0.01
But the loss doesn't converge. I have several different learning rates. Can you help me out?
If the training set is small, you'd better set the initial learning rate to 10 times larger. Besides, it is normal that the trend of decreasing loss is not obvious.