diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index 68f3e8d..b23ed97 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -213,6 +213,7 @@
     m_ParserFunctions[Layer_PadLayer]                    = &Deserializer::ParsePad;
     m_ParserFunctions[Layer_PermuteLayer]                = &Deserializer::ParsePermute;
     m_ParserFunctions[Layer_Pooling2dLayer]              = &Deserializer::ParsePooling2d;
+    m_ParserFunctions[Layer_PreluLayer]                  = &Deserializer::ParsePrelu;
     m_ParserFunctions[Layer_QuantizeLayer]               = &Deserializer::ParseQuantize;
     m_ParserFunctions[Layer_ReshapeLayer]                = &Deserializer::ParseReshape;
     m_ParserFunctions[Layer_ResizeBilinearLayer]         = &Deserializer::ParseResizeBilinear;
@@ -292,6 +293,8 @@
             return graphPtr->layers()->Get(layerIndex)->layer_as_PermuteLayer()->base();
         case Layer::Layer_Pooling2dLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_Pooling2dLayer()->base();
+        case Layer::Layer_PreluLayer:
+            return graphPtr->layers()->Get(layerIndex)->layer_as_PreluLayer()->base();
         case Layer::Layer_QuantizeLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_QuantizeLayer()->base();
         case Layer::Layer_ReshapeLayer:
@@ -2194,4 +2197,24 @@
     RegisterOutputSlots(graph, layerIndex, layer);
 }
 
+void Deserializer::ParsePrelu(GraphPtr graph, unsigned int layerIndex)
+{
+    CHECK_LAYERS(graph, 0, layerIndex);
+    auto inputs = GetInputs(graph, layerIndex);
+    CHECK_LOCATION();
+    CHECK_VALID_SIZE(inputs.size(), 2);
+
+    auto outputs = GetOutputs(graph, layerIndex);
+    CHECK_VALID_SIZE(outputs.size(), 1);
+
+    auto layerName = GetLayerName(graph, layerIndex);
+    IConnectableLayer* layer = m_Network->AddPreluLayer(layerName.c_str());
+
+    armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    RegisterInputSlots(graph, layerIndex, layer);
+    RegisterOutputSlots(graph, layerIndex, layer);
+}
+
 } // namespace armnnDeserializer