Merge pull request #838 from matthiasreisser/docstring_additions

added docstring to apply method of LSTM

blocks/bricks/recurrent.py

@@ -434,7 +434,9 @@ def apply(self, inputs, states, cells, mask=None):
             features * 4). The `inputs` needs to be four times the
             dimension of the LSTM brick to insure each four gates receive
             different transformations of the input. See [Grav13]_
-            equations 7 to 10 for more details.
+            equations 7 to 10 for more details. The `inputs` are then split
+            in this order: Input gates, forget gates, cells and output
+            gates.
         mask : :class:`~tensor.TensorVariable`
             A 1D binary array in the shape (batch,) which is 1 if there is
             data available, 0 if not. Assumed to be 1-s only if not given.