Put new feature under the right section.

NEWS.txt

@@ -120,13 +120,13 @@ New features:
  * Added a_tensor.transpose(axes) axes is optional (James)
     * theano.tensor.transpose(a_tensor, kwargs) We where ignoring kwargs, now it is used as the axes.
  * a_CudaNdarray_object[*] = int, now work (Frederic)
+ * tensor_variable.size (as numpy) computes the product of the shape elements. (Olivier)
+ * sparse_variable.size (as scipy) computes the number of stored values. (Olivier)
  * sparse_variable[N, N] now work (Li Yao, Frederic)
  * sparse_variable[M:N, O:P] now work (Li Yao, Frederic)
 
 New optimizations:
  * AdvancedSubtensor1 reuses preallocated memory if available (scan, c|py_nogc linker) (Frederic)
- * tensor_variable.size (as numpy) computes the product of the shape elements. (Olivier)
- * sparse_variable.size (as scipy) computes the number of stored values. (Olivier)
  * dot22, dot22scalar work with complex. (Frederic)
  * Generate Gemv/Gemm more often. (James)
  * Remove scan when all computations can be moved outside the loop. (Razvan)