diff --git a/Layer.cpp b/Layer.cpp
index 8ddcad8..89eef7d 100644
--- a/Layer.cpp
+++ b/Layer.cpp
@@ -21,7 +21,15 @@ void Layer::setOutputValues(const std::vector<double> & outputValues)
 	for (const double &value : outputValues)
 	{
 		(neuronIt++)->setOutputValue(value);
-	}
+    }
+}
+
+void Layer::setOutputValues(const double *outputValues)
+{
+    for (size_t neuronIndex = 0; neuronIndex < size(); ++neuronIndex)
+    {
+        at(neuronIndex).setOutputValue(outputValues[neuronIndex]);
+    }
 }
 
 void Layer::feedForward(const Layer &inputLayer)
diff --git a/Layer.h b/Layer.h
index 94bab0e..595cb26 100644
--- a/Layer.h
+++ b/Layer.h
@@ -13,6 +13,8 @@ public:
 	Layer(size_t numNeurons);
 
 	void setOutputValues(const std::vector<double> & outputValues);
+    void setOutputValues(const double *outputValues);
+
 	void feedForward(const Layer &inputLayer);
     double getWeightedSum(size_t outputNeuron) const;
 	void connectTo(const Layer & nextLayer);
diff --git a/Net.cpp b/Net.cpp
index 62c786d..fbccaa5 100644
--- a/Net.cpp
+++ b/Net.cpp
@@ -63,7 +63,22 @@ void Net::feedForward(const std::vector<double> &inputValues)
 		Layer &nextLayer = *(layerIt + 1);
 
 		nextLayer.feedForward(currentLayer);
-	}
+    }
+}
+
+void Net::feedForward(const double *inputValues)
+{
+    Layer &inputLayer = front();
+
+    inputLayer.setOutputValues(inputValues);
+
+    for (auto layerIt = begin(); layerIt != end() - 1; ++layerIt)
+    {
+        const Layer &currentLayer = *layerIt;
+        Layer &nextLayer = *(layerIt + 1);
+
+        nextLayer.feedForward(currentLayer);
+    }
 }
 
 std::vector<double> Net::getOutput()
diff --git a/Net.h b/Net.h
index 41a80c0..1ae0c85 100644
--- a/Net.h
+++ b/Net.h
@@ -15,6 +15,7 @@ public:
     void initialize(std::initializer_list<size_t> layerSizes);
 
 	void feedForward(const std::vector<double> &inputValues);
+    void feedForward(const double *inputValues);
 	std::vector<double> getOutput();
 	void backProp(const std::vector<double> &targetValues);