diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/ComputationGraph.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/ComputationGraph.java
index d08fa852a..a0c4bc22a 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/ComputationGraph.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/graph/ComputationGraph.java
@@ -4265,7 +4265,7 @@ public class ComputationGraph implements Serializable, Model, NeuralNetwork {
                     Layer currentLayer = ((LayerVertex) currentVertex).getLayer();
                     classNameArr = currentLayer.getClass().getName().split("\\.");
                     className = classNameArr[classNameArr.length - 1];
-                    paramCount = String.valueOf(currentLayer.numParams());
+                    paramCount = String.format("%,d", currentLayer.numParams());
                     //layer with params
                     if (currentLayer.numParams() > 0) {
                         paramShape = "";
@@ -4372,9 +4372,9 @@ public class ComputationGraph implements Serializable, Model, NeuralNetwork {
         }
 
         ret.append(StringUtils.repeat("-", totalLength))
-                .append(String.format("\n%30s %d", "Total Parameters: ", params().length()))
-                .append(String.format("\n%30s %d", "Trainable Parameters: ", params().length() - frozenParams))
-                .append(String.format("\n%30s %d", "Frozen Parameters: ", frozenParams))
+                .append(String.format("\n%30s %,d", "Total Parameters: ", params().length()))
+                .append(String.format("\n%30s %,d", "Trainable Parameters: ", params().length() - frozenParams))
+                .append(String.format("\n%30s %,d", "Frozen Parameters: ", frozenParams))
                 .append("\n")
                 .append(StringUtils.repeat("=", totalLength))
                 .append("\n");
diff --git a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/multilayer/MultiLayerNetwork.java b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/multilayer/MultiLayerNetwork.java
index 6f43dc986..0436bd244 100755
--- a/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/multilayer/MultiLayerNetwork.java
+++ b/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/multilayer/MultiLayerNetwork.java
@@ -3553,7 +3553,7 @@ public class MultiLayerNetwork implements Serializable, Classifier, Layer, Neura
             String out = "-";
             String[] classNameArr = currentLayer.getClass().getName().split("\\.");
             String className = classNameArr[classNameArr.length - 1];
-            String paramCount = String.valueOf(currentLayer.numParams());
+            String paramCount = String.format("%,d", currentLayer.numParams());
             String inShape = "";
             String outShape = "";
             InputPreProcessor preProcessor;
@@ -3640,9 +3640,9 @@ public class MultiLayerNetwork implements Serializable, Classifier, Layer, Neura
         }
 
         ret.append(StringUtils.repeat("-", totalLength));
-        ret.append(String.format("\n%30s %d", "Total Parameters: ", params().length()));
-        ret.append(String.format("\n%30s %d", "Trainable Parameters: ", params().length() - frozenParams));
-        ret.append(String.format("\n%30s %d", "Frozen Parameters: ", frozenParams));
+        ret.append(String.format("\n%30s %,d", "Total Parameters: ", params().length()));
+        ret.append(String.format("\n%30s %,d", "Trainable Parameters: ", params().length() - frozenParams));
+        ret.append(String.format("\n%30s %,d", "Frozen Parameters: ", frozenParams));
         ret.append("\n");
         ret.append(StringUtils.repeat("=", totalLength));
         ret.append("\n");