updated ImageHandsOn

coderye · Aug 26, 2016 · 9a04db5 · 9a04db5
1 parent bc60bbe
commit 9a04db5
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Showing 5 changed files with 9 additions and 9 deletions.
diff --git a/Tutorials/ImageHandsOn/ImageHandsOn_Solution3.cntk b/Tutorials/ImageHandsOn/ImageHandsOn_Solution3.cntk
@@ -22,7 +22,7 @@ TrainConvNet = {
             {
                 c = ConvolutionalLayer {depth, (5:5), pad = true,  ##### no activation=ReLU
                                         init = "gaussian", initValueScale = initValueScale} (x)
-                b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (c)
+                b = BatchNormalizationLayer {spatialRank = 2} (c)
                 r = ReLU (b)   ##### now called explicitly
                 p = MaxPoolingLayer {(3:3), stride = (2:2)} (r)
             }.p

diff --git a/Tutorials/ImageHandsOn/ImageHandsOn_Solution4.cntk b/Tutorials/ImageHandsOn/ImageHandsOn_Solution4.cntk
@@ -20,13 +20,13 @@ TrainConvNet = {
         MySubSampleBN (x, depth, stride) =
         {
             s = Splice ((MaxPoolingLayer {(1:1), stride = (stride:stride)} (x) : ConstantTensor (0, (1:1:depth/stride))), axis = 3)  # sub-sample and pad: [W x H x depth/2] --> [W/2 x H/2 x depth]
-            b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (s)
+            b = BatchNormalizationLayer {spatialRank = 2} (s)
         }.b
         MyConvBN (x, depth, initValueScale, stride) =
         {
             c = ConvolutionalLayer {depth, (3:3), pad = true, stride = (stride:stride), bias = false,
                                     init = "gaussian", initValueScale = initValueScale} (x)
-            b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (c)
+            b = BatchNormalizationLayer {spatialRank = 2} (c)
         }.b
         ResNetNode (x, depth) =
         {

diff --git a/Tutorials/ImageHandsOn/ImageHandsOn_Solution5.cntk b/Tutorials/ImageHandsOn/ImageHandsOn_Solution5.cntk
@@ -20,13 +20,13 @@ TrainConvNet = {
         MySubSampleBN (x, depth, stride) =
         {
             s = Splice ((MaxPoolingLayer {(1:1), stride = (stride:stride)} (x) : ConstantTensor (0, (1:1:depth/stride))), axis = 3)  # sub-sample and pad: [W x H x depth/2] --> [W/2 x H/2 x depth]
-            b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (s)
+            b = BatchNormalizationLayer {spatialRank = 2} (s)
         }.b
         MyConvBN (x, depth, initValueScale, stride) =
         {
             c = ConvolutionalLayer {depth, (3:3), pad = true, stride = (stride:stride), bias = false,
                                     init = "gaussian", initValueScale = initValueScale} (x)
-            b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (c)
+            b = BatchNormalizationLayer {spatialRank = 2} (c)
         }.b
         ResNetNode (x, depth) =
         {

diff --git a/Tutorials/ImageHandsOn/ImageHandsOn_Task4_Start.cntk b/Tutorials/ImageHandsOn/ImageHandsOn_Task4_Start.cntk
@@ -20,13 +20,13 @@ TrainConvNet = {
         MySubSampleBN (x, depth, stride) =
         {
             s = Splice ((MaxPoolingLayer {(1:1), stride = (stride:stride)} (x) : ConstantTensor (0, (1:1:depth/stride))), axis = 3)  # sub-sample and pad: [W x H x depth/2] --> [W/2 x H/2 x depth]
-            b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (s)
+            b = BatchNormalizationLayer {spatialRank = 2} (s)
         }.b
         MyConvBN (x, depth, initValueScale, stride) =
         {
             c = ConvolutionalLayer {depth, (3:3), pad = true, stride = (stride:stride), bias = false,
                                     init = "gaussian", initValueScale = initValueScale} (x)
-            b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (c)
+            b = BatchNormalizationLayer {spatialRank = 2} (c)
         }.b
         ResNetNode (x, depth) =
         {

diff --git a/Tutorials/ImageHandsOn/ImageHandsOn_Task6.cntk b/Tutorials/ImageHandsOn/ImageHandsOn_Task6.cntk
@@ -20,13 +20,13 @@ TrainConvNet = {
         MySubSampleBN (x, depth, stride) =
         {
             s = Splice ((MaxPoolingLayer {(1:1), stride = (stride:stride)} (x) : ConstantTensor (0, (1:1:depth/stride))), axis = 3)  # sub-sample and pad: [W x H x depth/2] --> [W/2 x H/2 x depth]
-            b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (s)
+            b = BatchNormalizationLayer {spatialRank = 2} (s)
         }.b
         MyConvBN (x, depth, initValueScale, stride) =
         {
             c = ConvolutionalLayer {depth, (3:3), pad = true, stride = (stride:stride), bias = false,
                                     init = "gaussian", initValueScale = initValueScale} (x)
-            b = BatchNormalizationLayer {spatialRank = 2, normalizationTimeConstant = 4096} (c)
+            b = BatchNormalizationLayer {spatialRank = 2} (c)
         }.b
         ResNetNode (x, depth) =
         {