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Hi
Thanks for your wonderful code! I was looking through the code for Bidirectional GAN and have a few doubts :
[1] In the discriminator step why is Line 83 required ? Is it required to update the generator during discriminator learning ? should not it be fixed ?
Is this a G_solver.step() needed ?
[2] while updating the generator(Q and P), are you using the the inverse objective function found in Appendix 2 page 16 here at https://arxiv.org/pdf/1605.09782.pdf ?
otherwise should not it be a minimization problem and the - sign in Line 93 not required ?
[3] also why is the final layer in the generator a sigmoid layer ?
Thanks in advance ! I will be grateful to hear anything on this matter.
The text was updated successfully, but these errors were encountered:
Hi
Thanks for your wonderful code! I was looking through the code for Bidirectional GAN and have a few doubts :
[1] In the discriminator step why is
Line 83
required ? Is it required to update the generator during discriminator learning ? should not it be fixed ?Is this a
G_solver.step()
needed ?[2] while updating the generator(
Q
andP
), are you using the the inverse objective function found in Appendix 2 page 16 here at https://arxiv.org/pdf/1605.09782.pdf ?otherwise should not it be a minimization problem and the
-
sign inLine 93
not required ?[3] also why is the final layer in the generator a
sigmoid
layer ?Thanks in advance ! I will be grateful to hear anything on this matter.
The text was updated successfully, but these errors were encountered: