GitLab

* add visitor to remove bias from bn_ inputs (#closes 2155)

* remove unused parameter and make documentation more clear

* remove bias from bn_ layers too and use better name

* let the batch norm keep their bias, use even better name

* be more consistent with impl naming

* remove default constructor

* do not use method to prevent some errors

* add disable bias method to pertinent layers

* update dcgan example

- grammar
- print number of network parameters to be able to check bias is not allocated
- at the end, give feedback to the user about what the discriminator thinks about each generated sample

* fix fc_ logic

* add documentation

* add bias_is_disabled methods and update to_xml

* print use_bias=false when bias is disabled

* Remove outdated comment

That comment was there from when I was using a dnn_trainer to train
the discriminator network.

* Fix case

* fix some warnings when running tests

* rever changes in CMakeLists.txt

* update example make use of newly promoted method

* update tests to make use of newly promoted methods

Promote some of the sub-network methods into the add_loss_layer interface so users don't have to write .subnet() so often.

* wip: dcgan-example

* wip: dcgan-example

* update example to use leaky_relu and remove bias from net

* wip

* it works!

* add more comments

* add visualization code

* add example documentation

* rename example

* fix comment

* better comment format

* fix the noise generator seed

* add message to hit enter for image generation

* fix srand, too

* add std::vector overload to update_parameters

* improve training stability

* better naming of variables

make sure it is clear we update the generator with the discriminator's
gradient using fake samples and true labels

* fix comment: generator -> discriminator

* update leaky_relu docs to match the relu ones

* replace not with !

* add Davis' suggestions to make training more stable

* use tensor instead of resizable_tensor

* do not use dnn_trainer for discriminator