Gan

Ok, so I think that the modifications I made here can be merged ...

Two main changes as compared to the master:

1. Added some layers
2. Modified the way variable name and scope is handled in layers (and in SequenceNetwork as well)

Change 1 should by no means affect what has been done until now (on the master). However, change 2 may require a bit of adaptation, especially when defining architectures and layers ...

@tiago.pereira I'll let you check and then we can discuss

Also, I think that this will be irrelevant when we'll go to tf-slim anyway !

bob/learn/tensorflow/layers/__init__.py

@@ -8,6 +8,8 @@ from .AveragePooling import AveragePooling
 from .Dropout import Dropout
 from .InputLayer import InputLayer
 
+from .FlatTo2D import FlatTo2D
+from .Conv2DTranspose import Conv2DTranspose
 
 # gets sphinx autodoc done right - don't remove it
 def __appropriate__(*args):
@@ -32,6 +34,8 @@ __appropriate__(
     AveragePooling,
     Dropout,
     InputLayer,
+    FlatTo2D,
+    Conv2DTranspose,
     )
 __all__ = [_ for _ in dir() if not _.startswith('_')]