reedscot / icml2016

Generative Adversarial Text-to-Image Synthesis

Home Page:http://arxiv.org/abs/1605.05396

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Reg: Backprop in generator network

vasavig opened this issue · comments

Hi,

I have a question regarding the differential which is propagated back in the generator network. The first element of df_dg table, df_dg[1] is passed to the backward function of generator. Is this the differential of loss function with respect to the input image to discriminator (which is the first input to the discriminator)? If so, df_dg[2] would be the differential of the loss function with respect to the second input to discriminator, the text attribute vector, right?

Thanks!