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/datashuffler/Normalizer.py

@@ -40,3 +40,10 @@ class Linear(object):
         return x
 
 
+class ZeroOne(object):
+
+  def __init__(self):
+    pass
+
+  def __call__(sel, x):
+    return x / 255.