diff --git a/examples/inception_v3/inception_v3.cpp b/examples/inception_v3/inception_v3.cpp
index f2513dc..3af9ecf 100644
--- a/examples/inception_v3/inception_v3.cpp
+++ b/examples/inception_v3/inception_v3.cpp
@@ -194,24 +194,25 @@ class InceptionB : public CUDANet::Module {
         : inputSize(inputSize), inputChannels(inputChannels) {
         // Branch 3x3
         branch3x3 = new BasicConv2d(
-            inputSize, inputChannels, 384, {3, 3}, {2, 2}, {0, 0}, "branch1x1"
+            inputSize, inputChannels, 384, {3, 3}, {2, 2}, {0, 0},
+            prefix + ".branch1x1"
         );
         addLayer("", branch3x3);
 
         // Branch 3x3dbl
         branch3x3dbl_1 = new BasicConv2d(
             inputSize, inputChannels, 64, {1, 1}, {1, 1}, {0, 0},
-            "branch3x3dbl_1"
+            prefix + ".branch3x3dbl_1"
         );
         addLayer("", branch3x3dbl_1);
         branch3x3dbl_2 = new BasicConv2d(
             branch3x3dbl_1->getOutputDims(), 96, 96, {3, 3}, {1, 1}, {1, 1},
-            "branch3x3dbl_2"
+            prefix + ".branch3x3dbl_2"
         );
         addLayer("", branch3x3dbl_2);
         branch3x3dbl_3 = new BasicConv2d(
             branch3x3dbl_2->getOutputDims(), 96, 96, {3, 3}, {2, 2}, {1, 1},
-            "branch3x3dbl_3"
+            prefix + ".branch3x3dbl_3"
         );
         addLayer("", branch3x3dbl_3);
 
@@ -282,51 +283,52 @@ class InceptionC : public CUDANet::Module {
         : inputSize(inputSize), inputChannels(inputChannels) {
         // Branch 1x1
         branch1x1 = new BasicConv2d(
-            inputSize, inputChannels, 192, {1, 1}, {1, 1}, {0, 0}, "branch1x1"
+            inputSize, inputChannels, 192, {1, 1}, {1, 1}, {0, 0},
+            prefix + ".branch1x1"
         );
         addLayer("", branch1x1);
 
         // Branch 7x7
         branch7x7_1 = new BasicConv2d(
             inputSize, inputChannels, nChannels_7x7, {1, 1}, {1, 1}, {0, 0},
-            "branch7x7_1"
+            prefix + ".branch7x7_1"
         );
         addLayer("", branch7x7_1);
         branch7x7_2 = new BasicConv2d(
             branch7x7_1->getOutputDims(), nChannels_7x7, nChannels_7x7, {1, 7},
-            {1, 1}, {0, 3}, "branch7x7_2"
+            {1, 1}, {0, 3}, prefix + ".branch7x7_2"
         );
         addLayer("", branch7x7_2);
         branch7x7_3 = new BasicConv2d(
             branch7x7_2->getOutputDims(), nChannels_7x7, 192, {7, 1}, {1, 1},
-            {3, 0}, "branch7x7_3"
+            {3, 0}, prefix + ".branch7x7_3"
         );
         addLayer("", branch7x7_3);
 
         // Branch 7x7dbl
         branch7x7dbl_1 = new BasicConv2d(
             inputSize, inputChannels, nChannels_7x7, {1, 1}, {1, 1}, {0, 0},
-            "branch7x7dbl_1"
+            prefix + ".branch7x7dbl_1"
         );
         addLayer("", branch7x7dbl_1);
         branch7x7dbl_2 = new BasicConv2d(
             branch7x7dbl_1->getOutputDims(), nChannels_7x7, nChannels_7x7,
-            {7, 1}, {1, 1}, {3, 0}, "branch7x7dbl_2"
+            {7, 1}, {1, 1}, {3, 0}, prefix + ".branch7x7dbl_2"
         );
         addLayer("", branch7x7dbl_2);
         branch7x7dbl_3 = new BasicConv2d(
             branch7x7dbl_2->getOutputDims(), nChannels_7x7, nChannels_7x7,
-            {1, 7}, {1, 1}, {0, 3}, "branch7x7dbl_3"
+            {1, 7}, {1, 1}, {0, 3}, prefix + ".branch7x7dbl_3"
         );
         addLayer("", branch7x7dbl_3);
         branch7x7dbl_4 = new BasicConv2d(
             branch7x7dbl_3->getOutputDims(), nChannels_7x7, nChannels_7x7,
-            {7, 1}, {1, 1}, {3, 0}, "branch7x7dbl_4"
+            {7, 1}, {1, 1}, {3, 0}, prefix + ".branch7x7dbl_4"
         );
         addLayer("", branch7x7dbl_4);
         branch7x7dbl_5 = new BasicConv2d(
             branch7x7dbl_4->getOutputDims(), nChannels_7x7, 192, {1, 7}, {1, 1},
-            {0, 3}, "branch7x7dbl_5"
+            {0, 3}, prefix + ".branch7x7dbl_5"
         );
         addLayer("", branch7x7dbl_5);
 
@@ -338,7 +340,7 @@ class InceptionC : public CUDANet::Module {
         addLayer("", branchPool_1);
         branchPool_2 = new BasicConv2d(
             branchPool_1->getOutputDims(), inputChannels, 192, {1, 1}, {1, 1},
-            {0, 0}, "branchPool_2"
+            {0, 0}, prefix + ".branchPool_2"
         );
         addLayer("", branchPool_2);
 
@@ -429,33 +431,33 @@ class InceptionD : public CUDANet::Module {
         // Branch 3x3
         branch3x3_1 = new BasicConv2d(
             inputSize, inputChannels, 192, {1, 1}, {1, 1}, {0, 0},
-            prefix + "branch3x3"
+            prefix + ".branch3x3"
         );
         addLayer("", branch3x3_1);
         branch3x3_2 = new BasicConv2d(
-            inputSize, 192, 320, {3, 3}, {2, 2}, {0, 0}, prefix + "branch3x3_2"
+            inputSize, 192, 320, {3, 3}, {2, 2}, {0, 0}, prefix + ".branch3x3_2"
         );
         addLayer("", branch3x3_2);
 
         // Branch 7x7x3
         branch7x7x3_1 = new BasicConv2d(
             inputSize, inputChannels, 192, {1, 1}, {1, 1}, {0, 0},
-            prefix + "branch7x7x3_1"
+            prefix + ".branch7x7x3_1"
         );
         addLayer("", branch7x7x3_1);
         branch7x7x3_2 = new BasicConv2d(
             inputSize, 192, 192, {1, 7}, {1, 1}, {0, 3},
-            prefix + "branch7x7x3_2"
+            prefix + ".branch7x7x3_2"
         );
         addLayer("", branch7x7x3_2);
         branch7x7x3_3 = new BasicConv2d(
             inputSize, 192, 192, {7, 1}, {1, 1}, {3, 0},
-            prefix + "branch7x7x3_3"
+            prefix + ".branch7x7x3_3"
         );
         addLayer("", branch7x7x3_3);
         branch7x7x3_4 = new BasicConv2d(
             inputSize, 192, 192, {3, 3}, {2, 2}, {0, 0},
-            prefix + "branch7x7x3_4"
+            prefix + ".branch7x7x3_4"
         );
         addLayer("", branch7x7x3_4);
 
@@ -524,26 +526,33 @@ class InceptionD : public CUDANet::Module {
 
 class InceptionE : public CUDANet::Module {
   public:
-    InceptionE(shape2d inputSize, int inputChannels)
+    InceptionE(
+        const shape2d      inputSize,
+        const int          inputChannels,
+        const std::string &prefix
+    )
         : inputSize(inputSize), inputChannels(inputChannels) {
-
         // Branch 1x1
         branch1x1 = new BasicConv2d(
-            inputSize, inputChannels, 320, {1, 1}, {1, 1}, {0, 0}, "branch1x1"
+            inputSize, inputChannels, 320, {1, 1}, {1, 1}, {0, 0},
+            prefix + ".branch1x1"
         );
         addLayer("", branch1x1);
 
         // Branch 3x3
         branch3x3_1 = new BasicConv2d(
-            inputSize, inputChannels, 384, {1, 1}, {1, 1}, {0, 0}, "branch3x3_1"
+            inputSize, inputChannels, 384, {1, 1}, {1, 1}, {0, 0},
+            prefix + ".branch3x3_1"
         );
         addLayer("", branch3x3_1);
         branch3x3_2a = new BasicConv2d(
-            inputSize, 384, 384, {1, 3}, {1, 1}, {0, 1}, "branch3x3_2a"
+            inputSize, 384, 384, {1, 3}, {1, 1}, {0, 1},
+            prefix + ".branch3x3_2a"
         );
         addLayer("", branch3x3_2a);
         branch3x3_2b = new BasicConv2d(
-            inputSize, 384, 384, {3, 1}, {1, 1}, {1, 0}, "branch3x3_2b"
+            inputSize, 384, 384, {3, 1}, {1, 1}, {1, 0},
+            prefix + ".branch3x3_2b"
         );
         addLayer("", branch3x3_2b);
         branch_3x3_2_concat = new CUDANet::Layers::Concat(
@@ -553,19 +562,22 @@ class InceptionE : public CUDANet::Module {
         // Branch 3x3dbl
         branch3x3dbl_1 = new BasicConv2d(
             inputSize, inputChannels, 448, {1, 1}, {1, 1}, {0, 0},
-            "branch3x3dbl_1"
+            prefix + ".branch3x3dbl_1"
         );
         addLayer("", branch3x3dbl_1);
         branch3x3dbl_2 = new BasicConv2d(
-            inputSize, 448, 384, {3, 3}, {1, 1}, {1, 1}, "branch3x3dbl_2"
+            inputSize, 448, 384, {3, 3}, {1, 1}, {1, 1},
+            prefix + ".branch3x3dbl_2"
         );
         addLayer("", branch3x3dbl_2);
         branch3x3dbl_3a = new BasicConv2d(
-            inputSize, 384, 384, {1, 3}, {1, 1}, {0, 1}, "branch3x3dbl_3a"
+            inputSize, 384, 384, {1, 3}, {1, 1}, {0, 1},
+            prefix + ".branch3x3dbl_3a"
         );
         addLayer("", branch3x3dbl_3a);
         branch3x3dbl_3b = new BasicConv2d(
-            inputSize, 384, 384, {3, 1}, {1, 1}, {1, 0}, "branch3x3dbl_3b"
+            inputSize, 384, 384, {3, 1}, {1, 1}, {1, 0},
+            prefix + ".branch3x3dbl_3b"
         );
         addLayer("", branch3x3dbl_3b);
         branch_3x3dbl_3_concat = new CUDANet::Layers::Concat(
@@ -574,11 +586,13 @@ class InceptionE : public CUDANet::Module {
 
         // Branch Pool
         branchPool_1 = new CUDANet::Layers::AvgPooling2d(
-            inputSize, inputChannels, {3, 3}, {1, 1}, {1, 1}, CUDANet::Layers::ActivationType::NONE
+            inputSize, inputChannels, {3, 3}, {1, 1}, {1, 1},
+            CUDANet::Layers::ActivationType::NONE
         );
         addLayer("", branchPool_1);
         branchPool_2 = new BasicConv2d(
-            inputSize, inputChannels, 192, {1, 1}, {1, 1}, {0, 0}, "branchPool_2"
+            inputSize, inputChannels, 192, {1, 1}, {1, 1}, {0, 0},
+            prefix + ".branchPool_2"
         );
         addLayer("", branchPool_2);
 
@@ -615,28 +629,30 @@ class InceptionE : public CUDANet::Module {
     float *forward(const float *d_input) {
         float *branch1x1_output = branch1x1->forward(d_input);
 
-        float *branch3x3_output = branch3x3_1->forward(d_input);
+        float *branch3x3_output    = branch3x3_1->forward(d_input);
         float *branch3x3_2a_output = branch3x3_2a->forward(branch3x3_output);
         float *branch3x3_2b_output = branch3x3_2b->forward(branch3x3_output);
-        branch3x3_output = branch_3x3_2_concat->forward(
+        branch3x3_output           = branch_3x3_2_concat->forward(
             branch3x3_2a_output, branch3x3_2b_output
         );
 
         float *branch3x3dbl_output = branch3x3dbl_1->forward(d_input);
         branch3x3dbl_output = branch3x3dbl_2->forward(branch3x3dbl_output);
-        float *branch3x3dbl_3a_output = branch3x3dbl_3a->forward(branch3x3dbl_output);
-        float *branch3x3dbl_3b_output = branch3x3dbl_3b->forward(branch3x3dbl_output);
+        float *branch3x3dbl_3a_output =
+            branch3x3dbl_3a->forward(branch3x3dbl_output);
+        float *branch3x3dbl_3b_output =
+            branch3x3dbl_3b->forward(branch3x3dbl_output);
         branch3x3dbl_output = branch_3x3dbl_3_concat->forward(
             branch3x3dbl_3a_output, branch3x3dbl_3b_output
         );
 
         float *branchPool_output = branchPool_1->forward(d_input);
-        branchPool_output = branchPool_2->forward(branchPool_output);
+        branchPool_output        = branchPool_2->forward(branchPool_output);
 
         float *d_output = concat_1->forward(branch1x1_output, branch3x3_output);
         d_output        = concat_2->forward(d_output, branch3x3dbl_output);
         d_output        = concat_3->forward(d_output, branchPool_output);
-        
+
         return d_output;
     }