diff --git a/src/main/java/hex/NeuralNet.java b/src/main/java/hex/NeuralNet.java
index <HASH>..<HASH> 100644
--- a/src/main/java/hex/NeuralNet.java
+++ b/src/main/java/hex/NeuralNet.java
@@ -38,7 +38,7 @@ public class NeuralNet extends ValidatedJob {
   public Activation activation = Activation.Tanh;
 
   @API(help = "Input layer dropout ratio", filter = Default.class, dmin = 0, dmax = 1, json = true)
-  public double input_dropout_ratio = 0.2;
+  public double input_dropout_ratio = 0.0;
 
   @API(help = "Hidden layer sizes, e.g. 1000, 1000. Grid search: (100, 100), (200, 200)", filter = Default.class, json = true)
   public int[] hidden = new int[] { 200, 200 };
@@ -125,11 +125,6 @@ public class NeuralNet extends ValidatedJob {
       arg.disable("Regression is not currently supported.");
     }
     if (arg._name.equals("ignored_cols")) arg.disable("Not currently supported.");
-    if (arg._name.equals("input_dropout_ratio") &&
-            (activation != Activation.RectifierWithDropout && activation != Activation.TanhWithDropout)
-            ) {
-      arg.disable("Only with Dropout.", inputArgs);
-    }
     if(arg._name.equals("initial_weight_scale") &&
             (initial_weight_distribution == InitialWeightDistribution.UniformAdaptive)
             ) {
Default input dropout ratio to zero for NeuralNet (which now also allows input
dropout without using Dropout).