2
$\begingroup$

I am confused about the training part in AttnGan.

If you observe page 3. There are two types of losses for generator network: one involving the Deep Attentional Multimodal Similarity Model (DAMSM) loss $(L_{DAMSM})$ and the others for individual generator $(L_{G_i})$ for $i= 1, 2, 3$.

My doubt is: if each generator has its own loss function that is useful in training, what is the purpose in using $L_G$, i.e., with DAMSM loss function? Is my assumption wrong?

$\endgroup$
0

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.