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Hi, I have question regarding some points in there
regarding point 1, is there a reason behind normalizing the input into (-1,1) scale? Is it because the usage of tanh as generator output?
regarding point 16, I see lots of GANs still use method similar to concatenation eg. CGAN use pure concat while StarGAN expands it further to depth-concat. What makes using Embedding layer recommended that other conditioning methods?
The text was updated successfully, but these errors were encountered:
Hi, I have question regarding some points in there
The text was updated successfully, but these errors were encountered: