Better doc and add missing import

doc/library/tensor/nnet/index.txt

@@ -19,3 +19,4 @@ and ops which are particular to neural networks and deep learning.
     conv
     nnet
     neighbours
+    bn

theano/tensor/nnet/__init__.py

@@ -4,5 +4,6 @@ from .Conv3D import *
 from .ConvGrad3D import *
 from .ConvTransp3D import *
 from .sigm import (softplus, sigmoid, sigmoid_inplace,
-                  scalar_sigmoid, ultra_fast_sigmoid,
-                  hard_sigmoid)
+                   scalar_sigmoid, ultra_fast_sigmoid,
+                   hard_sigmoid)
+from .bn import batch_normalization

theano/tensor/nnet/bn.py

@@ -35,6 +35,8 @@ def batch_normalization(inputs, gamma, beta, mean, std,
     to a set of activations.
     Work also on GPU
 
+    .. versionadded:: 0.7.1
+
     Parameters
     ----------
     inputs : symbolic tensor

theano/tensor/nnet/nnet.py

@@ -2002,6 +2002,8 @@ def relu(x, alpha=0):
     """
     Compute the element-wise rectified linear activation function.
 
+    .. versionadded:: 0.7.1
+
     Parameters
     ----------
     x : symbolic tensor