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/Conv2D.py

@@ -80,7 +80,7 @@ class Conv2D(Layer):
         logger.info("\t number of output features maps = {0}".format(filters))
 
 
-    def create_variables(self, input_layer, scope=None):
+    def create_variables(self, input_layer, scope="net"):
       
       # get the scope as "network_name/layer_name"
       if scope is not None: