diff --git a/source/MainComponent.cpp b/source/MainComponent.cpp
index cdace60..03b4ca2 100644
--- a/source/MainComponent.cpp
+++ b/source/MainComponent.cpp
@@ -784,7 +784,7 @@ void MainComponent::labelTextChanged (Label* labelThatHasChanged)
     else if (labelThatHasChanged == weightDecayLabel)
     {
         //[UserLabelCode_weightDecayLabel] -- add your label text handling code here..
-    	m_pLayer->params().weightDecay = labelThatHasChanged->getText().getFloatValue();
+    	m_pLayer->params().l2Lambda = labelThatHasChanged->getText().getFloatValue();
         //[/UserLabelCode_weightDecayLabel]
     }
     else if (labelThatHasChanged == momentumLabel)
@@ -947,7 +947,7 @@ void MainComponent::updateControls()
 	rbmDoSampleVisibleToggleButton->setToggleState(m_pLayer->params().gibbsDoSampleVisible, dontSendNotification);
 	rbmDoSampleHidden->setToggleState(m_pLayer->params().gibbsDoSampleHidden, dontSendNotification);
 	
-	weightDecayLabel->setText(String(m_pLayer->params().weightDecay), dontSendNotification);
+	weightDecayLabel->setText(String(m_pLayer->params().l2Lambda), dontSendNotification);
 	learningRateLabel->setText(String(m_pLayer->params().learningRate), dontSendNotification);
 	momentumLabel->setText(String(m_pLayer->params().momentum), dontSendNotification);
 	numVisibleLabel->setText(String(m_pLayer->numVisibleX()), dontSendNotification );
diff --git a/source/Rbm.cpp b/source/Rbm.cpp
index 71d8eaa..946b9f3 100644
--- a/source/Rbm.cpp
+++ b/source/Rbm.cpp
@@ -367,14 +367,14 @@ void Rbm::train(arma::mat const &batch, IListener* pListener)
 			m_bh += inc_bh;
 			m_whv += inc_whv;
 
-			// Weight decay and L1 applied directly to the weights, outside the
-			// momentum recursion above -- folding either into inc_whv would let
-			// momentum geometrically amplify its effective strength to roughly
+			// L2 and L1 applied directly to the weights, outside the momentum
+			// recursion above -- folding either into inc_whv would let momentum
+			// geometrically amplify its effective strength to roughly
 			// lambda/(1-momentum), well past the configured value. Neither
 			// touches the biases, matching pyRBM's state_adjust().
-			if (m_params.weightDecay != 0.0)
+			if (m_params.l2Lambda != 0.0)
 			{
-				m_whv -= m_params.learningRate*m_params.weightDecay*m_whv;
+				m_whv -= m_params.learningRate*m_params.l2Lambda*m_whv;
 			}
 			if (m_params.l1Lambda != 0.0)
 			{
diff --git a/source/Rbm.hpp b/source/Rbm.hpp
index f90aa9e..7752086 100644
--- a/source/Rbm.hpp
+++ b/source/Rbm.hpp
@@ -27,7 +27,7 @@ public:
 	{
 		Params()
 		: learningRate(0.1)
-		, weightDecay(0.0)
+		, l2Lambda(0.0)
 		, l1Lambda(0.0)
 		, momentum(0.9)
 		, doGaussianHidden(false)
@@ -46,7 +46,7 @@ public:
 		{
 			std::cout << "Exporting Rbm::Params" << std::endl;
 			Json::Value params;
-			params["weightDecay"] = weightDecay;
+			params["l2Lambda"] = l2Lambda;
 			params["l1Lambda"] = l1Lambda;
 			params["learningRate"] = learningRate;
 			params["momentum"] = momentum;
@@ -66,7 +66,7 @@ public:
 		void fromJson(Json::Value params)
 		{
 			std::cout << "Importing Rbm::Params" << std::endl;
-			weightDecay = params.get("weightDecay", weightDecay).asDouble();
+			l2Lambda = params.get("l2Lambda", l2Lambda).asDouble();
 			l1Lambda = params.get("l1Lambda", l1Lambda).asDouble();
 			learningRate = params.get("learningRate", learningRate).asDouble();
 			momentum = params.get("momentum", momentum).asDouble();
@@ -81,7 +81,7 @@ public:
 			numEpochs = params.get("numEpochs", numEpochs).asUInt();
 		}
 
-		double weightDecay;
+		double l2Lambda;
 		double l1Lambda;
 		double learningRate;
 		double momentum;