Change based on review feedback.

Examples/Image/GettingStarted/05_OneConvRegr.cntk

@@ -41,7 +41,7 @@ trainNetwork = {
         # loss and error computation
         diff = labels - z
         sqerr = ReduceSum (diff.*diff, axis=1)
-        rmse =  SumElements (Sqrt (sqerr / labelDim))
+        rmse =  Sqrt (sqerr / labelDim)
 
         # declare special nodes
         featureNodes    = (features)

Examples/Image/GettingStarted/06_OneConvRegrMultiNode.cntk

@@ -43,7 +43,7 @@ trainNetwork = {
         # loss and error computation
         diff = labels - z
         sqerr = ReduceSum (diff.*diff, axis=1)
-        rmse =  SumElements (Sqrt (sqerr / labelDim))
+        rmse =  Sqrt (sqerr / labelDim)
 
         # declare special nodes
         featureNodes    = (features)

Examples/Image/Regression/RegrSimple_CIFAR10.cntk

@@ -38,7 +38,7 @@ TrainConvNet = {
         # define regression loss
         diff = regrLabels - ol
         sqerr = ReduceSum (diff.*diff, axis=1)
-        rmse =  SumElements (Sqrt (sqerr / labelDim))
+        rmse =  Sqrt (sqerr / labelDim)
 
         featureNodes    = (features)
         labelNodes      = (regrLabels)