- Added gaussian hidden units

source/MainComponent.cpp

@@ -217,7 +217,7 @@ MainComponent::MainComponent (const String prjname)
     sigmaLabel->addListener (this);
 
     addAndMakeVisible (rbmUseVisibleGaussianToggleButton = new ToggleButton ("rbmUseVisibleGaussian toggle button"));
-    rbmUseVisibleGaussianToggleButton->setTooltip (TRANS("Unused"));
+    rbmUseVisibleGaussianToggleButton->setTooltip (TRANS("Use gaussian visible units"));
     rbmUseVisibleGaussianToggleButton->setButtonText (TRANS("Use gaussian visible"));
     rbmUseVisibleGaussianToggleButton->addListener (this);
 
@@ -328,7 +328,7 @@ MainComponent::MainComponent (const String prjname)
     sizeMiniBatch->addListener (this);
 
     addAndMakeVisible (rbmUseHiddenGaussianToggleButton = new ToggleButton ("rbmUseHiddenGaussian toggle button"));
-    rbmUseHiddenGaussianToggleButton->setTooltip (TRANS("Unused"));
+    rbmUseHiddenGaussianToggleButton->setTooltip (TRANS("Use gaussian hidden units"));
     rbmUseHiddenGaussianToggleButton->setButtonText (TRANS("Use gaussian hidden"));
     rbmUseHiddenGaussianToggleButton->addListener (this);
 
@@ -644,6 +644,7 @@ void MainComponent::buttonClicked (Button* buttonThatWasClicked)
     else if (buttonThatWasClicked == rbmUseVisibleGaussianToggleButton)
     {
         //[UserButtonCode_rbmUseVisibleGaussianToggleButton] -- add your button handler code here..
+    	m_pLayer->params().doGaussianVisible = buttonThatWasClicked->getToggleState();
         //[/UserButtonCode_rbmUseVisibleGaussianToggleButton]
     }
     else if (buttonThatWasClicked == rbmDoSparseToggleButton)
@@ -670,6 +671,7 @@ void MainComponent::buttonClicked (Button* buttonThatWasClicked)
     else if (buttonThatWasClicked == rbmUseHiddenGaussianToggleButton)
     {
         //[UserButtonCode_rbmUseHiddenGaussianToggleButton] -- add your button handler code here..
+    	m_pLayer->params().doGaussianHidden = buttonThatWasClicked->getToggleState();
        //[/UserButtonCode_rbmUseHiddenGaussianToggleButton]
     }
 

source/Rbm.cpp

@@ -131,16 +131,23 @@ void Rbm::gibbs_hv(arma::mat &h_probs, arma::mat &v_probs) const
 void Rbm::contrastiveDivergence(arma::mat const &v_states, arma::mat &dw, arma::mat &dbhv, arma::mat &dbv)
 {
 	arma::mat v_probs(v_states);
-	arma::mat h_states = v_to_h(v_states);
+	arma::mat h_states;
-	arma::mat h_probs = prob(h_states);
+	arma::mat h_probs;
 	
 	// Sample hidden
-	if (m_params.doRaoBlackwell)
+	if (m_params.doGaussianVisible)
 	{
+		h_probs = v_to_h(v_states);
+		h_states = h_probs + arma::randn(h_probs.n_rows, h_probs.n_cols);
+	}
+	else if (m_params.doRaoBlackwell)
+	{
+		h_probs = prob(v_to_h(v_states));
 		h_states = h_probs;
 	}
 	else
 	{
+		h_probs = prob(v_to_h(v_states));
 		h_states = sample(h_probs);
 	}
 	
@@ -163,7 +170,11 @@ void Rbm::contrastiveDivergence(arma::mat const &v_states, arma::mat &dw, arma::
 		}
 
 		// Create hidden representation given v
-		if (m_params.gibbsDoSampleVisible)
+		if (m_params.doGaussianHidden)
+		{
+			h_probs = v_to_h(v_probs);
+		}
+		else if (m_params.gibbsDoSampleVisible)
 		{
 			h_probs = prob(v_to_h(sample(v_probs)));
 		}

source/Rbm.hpp

@@ -29,6 +29,8 @@ public:
 		: learningRate(0.1)
 		, weightDecay(0.0)
 		, momentum(0.5)
+		, doGaussianHidden(false)
+		, doGaussianVisible(false)
 		, doRaoBlackwell(true)
 		, gibbsDoSampleVisible(false)
 		, gibbsDoSampleHidden(true)
@@ -46,6 +48,8 @@ public:
 			params["weightDecay"] = weightDecay;
 			params["learningRate"] = learningRate;
 			params["momentum"] = momentum;
+			params["doGaussianVisible"] = (int)doGaussianVisible;
+			params["doGaussianHidden"] = (int)doGaussianHidden;
 			params["doRaoBlackwell"] = (int)doRaoBlackwell;
 			params["gibbsDoSampleVisible"] = (int)gibbsDoSampleVisible;
 			params["gibbsDoSampleHidden"] = (int)gibbsDoSampleHidden;
@@ -63,6 +67,8 @@ public:
 			weightDecay = params.get("weightDecay", weightDecay).asDouble();
 			learningRate = params.get("learningRate", learningRate).asDouble();
 			momentum = params.get("momentum", momentum).asDouble();
+			doGaussianVisible = params.get("doGaussianVisible", doGaussianVisible) == 1;
+			doGaussianHidden = params.get("doGaussianHidden", doGaussianHidden) == 1;
 			doRaoBlackwell = params.get("doRaoBlackwell", doRaoBlackwell) == 1;
 			gibbsDoSampleVisible = params.get("gibbsDoSampleVisible", gibbsDoSampleVisible) == 1;
 			gibbsDoSampleHidden = params.get("gibbsDoSampleHidden", gibbsDoSampleHidden) == 1;
@@ -75,6 +81,8 @@ public:
 		double weightDecay;
 		double learningRate;
 		double momentum;
+		bool doGaussianVisible;
+		bool doGaussianHidden;
 		bool doRaoBlackwell;
 		bool gibbsDoSampleVisible;
 		bool gibbsDoSampleHidden;