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

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

I'm sorry, I'm not sure I see how I can do using another way.
I think I'm almost done training a gaussian function, only problem I have
right now is that this network:

// A 1 filter; 2x1 transposed conv layer that does 2x upsampling
template<class SUBNET>
using cont2 = dlib::cont<1, 1, 2, 1, 2, SUBNET>;
template<class SUBNET>
using GeneratorT = cont2<cont2<cont2<cont2<dlib::fc<8, SUBNET>>>>>; // This
will take an input of size 32 and generate an output of 128

Is generating vectors of 16, I'm surprised as I put a fully connected layer
on the input that outputs 8 values. Then, everything is multiplied by 2
going thru cont layers. It should be 128, no? How can this happen? Is there
something I'm missing or is there something else?

Thanks,


2017-10-22 7:47 GMT-05:00 Davis King <dav...@gm...>:

> It does it for you.  Really though, I don't see why you would need to call
> the backward function yourself considering the task you have outlined.
>
> ------------------------------------------------------------
> ------------------
> Check out the vibrant tech community on one of the world's most
> engaging tech sites, Slashdot.org! http://sdm.link/slashdot
> _______________________________________________
> Dclib-devel mailing list
> Dcl...@li...
> https://lists.sourceforge.net/lists/listinfo/dclib-devel
>
>