diff --git a/Examples/Image/MNIST/Config/02_Convolution.cntk b/Examples/Image/MNIST/Config/02_Convolution.cntk
index 94a4bbba2..1124f6fc8 100644
--- a/Examples/Image/MNIST/Config/02_Convolution.cntk
+++ b/Examples/Image/MNIST/Config/02_Convolution.cntk
@@ -12,7 +12,7 @@ ModelDir  = "$OutputDir$/Models"
 deviceId = 0
 imageLayout = "cudnn"
 # override the above as follows when running on CPU:
- deviceId = -1
+# deviceId = -1
 
 command = train:test
 
diff --git a/Examples/Image/MNIST/Config/02_Convolution.ndl b/Examples/Image/MNIST/Config/02_Convolution.ndl
index 8088dd9b0..14cb12e42 100644
--- a/Examples/Image/MNIST/Config/02_Convolution.ndl
+++ b/Examples/Image/MNIST/Config/02_Convolution.ndl
@@ -31,6 +31,7 @@ DNN=[
     pool1H = 2
     pool1hStride = 2
     pool1vStride = 2
+    # MaxPooling is a standard NDL node.
     pool1 = MaxPooling(conv1, pool1W, pool1H, pool1hStride, pool1vStride, imageLayout=$imageLayout$)
     
     # conv2
@@ -41,16 +42,15 @@ DNN=[
     vStride2 = 1
     # weight[cMap2, kW2 * kH2 * cMap1]
     # ConvNDReLULayer is defined in Macros.ndl
-    #conv2 = ConvNDReLULayer(pool1, kW2, kH2, cMap1, 400, cMap2, hStride2, vStride2, 10, 1)
-    conv2 = Conv2DReLULayer(pool1, cMap2, 400, kW2, kH2, hStride2, vStride2, 10, 1)
-    
+    conv2 = ConvNDReLULayer(pool1, kW2, kH2, cMap1, 400, cMap2, hStride2, vStride2, 10, 1)
+ 
     # pool2
     pool2W = 2
     pool2H = 2
     pool2hStride = 2
     pool2vStride = 2
-    #pool2 = MaxNDPooling(conv2, pool2W, pool2H, pool2hStride, pool2vStride, imageLayout=$imageLayout$)
-    pool2 = MaxPooling(conv2, pool2W, pool2H, pool2hStride, pool2vStride, imageLayout=$imageLayout$)
+    # MaxNDPooling is defined in Macros.ndl
+    pool2 = MaxNDPooling(conv2, pool2W, pool2H, pool2hStride, pool2vStride, imageLayout=$imageLayout$)
     
     h1Dim = 128
     # DNNImageSigmoidLayer and DNNLayer are defined in Macros.ndl
diff --git a/Makefile b/Makefile
index 9494e5e8b..eb8d7d4c2 100644
--- a/Makefile
+++ b/Makefile
@@ -255,7 +255,7 @@ MATH_SRC =\
 	$(SOURCEDIR)/Math/TensorView.cpp \
 	$(SOURCEDIR)/Math/CUDAPageLockedMemAllocator.cpp \
 	$(SOURCEDIR)/Math/ConvolutionEngine.cpp \
-        $(SOURCEDIR)/Math/BatchNormalizationEngine.cpp \
+	$(SOURCEDIR)/Math/BatchNormalizationEngine.cpp \
 
 ifdef CUDA_PATH
 MATH_SRC +=\
@@ -264,9 +264,9 @@ MATH_SRC +=\
 	$(SOURCEDIR)/Math/GPUSparseMatrix.cu \
 	$(SOURCEDIR)/Math/GPUWatcher.cu \
 	$(SOURCEDIR)/Math/MatrixQuantizerGPU.cu \
-        $(SOURCEDIR)/Math/CuDnnCommon.cu \
+	$(SOURCEDIR)/Math/CuDnnCommon.cu \
 	$(SOURCEDIR)/Math/CuDnnConvolutionEngine.cu \
-        $(SOURCEDIR)/Math/CuDnnBatchNormalization.cu \
+	$(SOURCEDIR)/Math/CuDnnBatchNormalization.cu \
 	$(SOURCEDIR)/Math/GPUDataTransferer.cpp \
 
 else
@@ -384,7 +384,10 @@ LUSEQUENCEREADER_SRC =\
 	$(SOURCEDIR)/Readers/LUSequenceReader/DataWriterLocal.cpp \
 	$(SOURCEDIR)/Readers/LUSequenceReader/LUSequenceParser.cpp \
 	$(SOURCEDIR)/Readers/LUSequenceReader/LUSequenceReader.cpp \
+<<<<<<< HEAD
 	$(SOURCEDIR)/Readers/LUSequenceReader/LUSequenceWriter.cpp \
+=======
+>>>>>>> Updated Makefile and samples.
 
 LUSEQUENCEREADER_OBJ := $(patsubst %.cpp, $(OBJDIR)/%.o, $(LUSEQUENCEREADER_SRC))