diff --git a/Source/CNTK/CNTK.vcxproj.filters b/Source/CNTK/CNTK.vcxproj.filters
index aaea01feb..3d80e55c8 100644
--- a/Source/CNTK/CNTK.vcxproj.filters
+++ b/Source/CNTK/CNTK.vcxproj.filters
@@ -139,30 +139,66 @@
Common\Include
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
BrainScript
BrainScript
+
+ from SGDLib\SGD
+
+
+ from SGDLib\SGD
+
+
+ from SGDLib\SGD
+
+
+ from ComputationNetworkLib\Network
+
+
+ from ComputationNetworkLib\Nodes
+
+
+ from ComputationNetworkLib\Nodes
+
+
+ from ComputationNetworkLib\Nodes
+
+
+ from ComputationNetworkLib\Network
+
+
+ from ComputationNetworkLib\Network
+
+
+ from ComputationNetworkLib\Network
+
+
+ from ComputationNetworkLib\Network
+
+
+ from ComputationNetworkLib\Nodes
+
+
+ from ComputationNetworkLib\Nodes
+
+
+ from ComputationNetworkLib\Nodes
+
+
+ from ComputationNetworkLib\Network
+
+
+ from ComputationNetworkLib\Nodes
+
+
+ from ComputationNetworkLib\Nodes
+
+
+ from ComputationNetworkLib\Nodes
+
@@ -203,9 +239,6 @@
{d3d5900a-8c5e-45f1-a2b7-f82f0e31994d}
-
- {8531d7fb-a673-491a-988a-012c92fafbfd}
-
{4f06ac18-7b30-490c-b801-128bdaa99450}
@@ -236,4 +269,4 @@
BrainScript\Doc
-
+
\ No newline at end of file
diff --git a/Source/Math/TensorView.h b/Source/Math/TensorView.h
index ea5b075a6..a737e7746 100644
--- a/Source/Math/TensorView.h
+++ b/Source/Math/TensorView.h
@@ -51,12 +51,12 @@ namespace Microsoft { namespace MSR { namespace CNTK {
// -------------------------------------------------------------------
// elementwise operations
- // Result goes into 'this'.
+ // Result goes into 'this', and can optionally be added to the existing value.
// E.g. c.DoSumOf(beta,a,b,alpha) means c := beta * c + alpha * (a + b).
// and c.DoDiffOf(0, c, a, 1) means c -= a.
// All operators support elementwise in-place operations, i.e. a, b, and c
// may all reference the same underlying SOB.
- // If beta == 0, c is not read out.
+ // If beta == 0, c is not read out, i.e. it can be uninitialized or contain NaNs.
// -------------------------------------------------------------------
void DoSumOf(ElemType beta, const TensorView & a, const TensorView & b, ElemType alpha) { DoBinaryOpOf(beta, a, b, alpha, 0); }