[Dclib-devel] [dclib-devel] Implementing a GAN with dlib

[Eloi Du B. <elo...@gm...>]

Hi,

I would like some advise on how to implement a Generative Adversial Network
with dlib.
I read a lot about this network, and from what I see, I think I need to
make one network containing the Generator and the Discriminator in one net,
concatenated.

Noise -> G -> output sample -> D -> [true, fake]

The thing where I'm stuck on is , when using dlib, how can I do a separate
training on both subnets? How do I extract the output generated sample in
the middle of both?
What loss function do you think I need? I was thinking of loss_binary_log.

Or maybe I'm misunderstanding the principle. Do you have any code example
that someone did with dlib?

Many thanks for any answer,
Bests,
Eloi