GitLab

* Add dnn_introduction3_ex

and the unit test servers don't even support it anymore.

Dlib does not use nsl symbols, why was this necessary ?
This make conda-forge build fail

* Add new loss layer for binary loss per pixel

cuda_data_ptr<T>.  Also moved some memcpy() functions to namespace scope
so that calling them like dlib::cuda::memcpy() can referene them.  It
was slightly annoting before.

* Adding Mish activation function

* Bug fixed

* Added test for Mish

* Removed unwanted comments

* Simplified calculation and removed comments

* Kernel added and gradient computation simplified

* Gradient simplified

* Corrected gradient calculations

* Compute output when input greater than 8

* Minor correction

* Remove unnecessary pgrad for Mish

* Removed CUDNN calls

* Add standalone CUDA implementation of the Mish activation function

* Fix in-place gradient in the CUDA version; refactor a little

* Swap delta and omega

* Need to have src (=x) (and not dest) available for Mish

* Add test case that makes sure that cuda::mish and cpu::mish return the same results

* Minor tweaking to keep the previous behaviour
Co-authored-by: Juha Reunanen <juha.reunanen@tomaattinen.com>

It's a cheap check, and easy for someone to forget about otherwise.