diff --git a/CMakeLists.txt b/CMakeLists.txt
index f3ad333..62f618a 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -612,6 +612,7 @@
                 src/armnnDeserializer/test/DeserializePermute.cpp
                 src/armnnDeserializer/test/DeserializePooling2d.cpp
                 src/armnnDeserializer/test/DeserializeReshape.cpp
+                src/armnnDeserializer/test/DeserializeResizeBilinear.cpp
                 src/armnnDeserializer/test/DeserializeRsqrt.cpp
                 src/armnnDeserializer/test/DeserializeSpaceToBatchNd.cpp
                 src/armnnDeserializer/test/ParserFlatbuffersSerializeFixture.hpp
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index aebdf0e..aa74543 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -205,6 +205,7 @@
     m_ParserFunctions[Layer_PermuteLayer]                = &Deserializer::ParsePermute;
     m_ParserFunctions[Layer_Pooling2dLayer]              = &Deserializer::ParsePooling2d;
     m_ParserFunctions[Layer_ReshapeLayer]                = &Deserializer::ParseReshape;
+    m_ParserFunctions[Layer_ResizeBilinearLayer]         = &Deserializer::ParseResizeBilinear;
     m_ParserFunctions[Layer_RsqrtLayer]                  = &Deserializer::ParseRsqrt;
     m_ParserFunctions[Layer_SoftmaxLayer]                = &Deserializer::ParseSoftmax;
     m_ParserFunctions[Layer_SpaceToBatchNdLayer]         = &Deserializer::ParseSpaceToBatchNd;
@@ -260,6 +261,8 @@
             return graphPtr->layers()->Get(layerIndex)->layer_as_Pooling2dLayer()->base();
         case Layer::Layer_ReshapeLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_ReshapeLayer()->base();
+        case Layer::Layer_ResizeBilinearLayer:
+            return graphPtr->layers()->Get(layerIndex)->layer_as_ResizeBilinearLayer()->base();
         case Layer::Layer_RsqrtLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_RsqrtLayer()->base();
         case Layer::Layer_SoftmaxLayer:
@@ -1431,6 +1434,33 @@
     RegisterOutputSlots(graph, layerIndex, layer);
 }
 
+void Deserializer::ParseResizeBilinear(GraphPtr graph, unsigned int layerIndex)
+{
+    CHECK_LAYERS(graph, 0, layerIndex);
+
+    Deserializer::TensorRawPtrVector inputs = GetInputs(graph, layerIndex);
+    CHECK_VALID_SIZE(inputs.size(), 1);
+
+    Deserializer::TensorRawPtrVector outputs = GetOutputs(graph, layerIndex);
+    CHECK_VALID_SIZE(outputs.size(), 1);
+
+    auto flatBufferDescriptor = graph->layers()->Get(layerIndex)->layer_as_ResizeBilinearLayer()->descriptor();
+
+    armnn::ResizeBilinearDescriptor descriptor;
+    descriptor.m_TargetWidth = flatBufferDescriptor->targetWidth();
+    descriptor.m_TargetHeight = flatBufferDescriptor->targetHeight();
+    descriptor.m_DataLayout = ToDataLayout(flatBufferDescriptor->dataLayout());
+
+    auto layerName = GetLayerName(graph, layerIndex);
+    IConnectableLayer* layer = m_Network->AddResizeBilinearLayer(descriptor, layerName.c_str());
+
+    armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    RegisterInputSlots(graph, layerIndex, layer);
+    RegisterOutputSlots(graph, layerIndex, layer);
+}
+
 void Deserializer::ParseSoftmax(GraphPtr graph, unsigned int layerIndex)
 {
     CHECK_LAYERS(graph, 0, layerIndex);
diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp
index 7e25534..cabc91f 100644
--- a/src/armnnDeserializer/Deserializer.hpp
+++ b/src/armnnDeserializer/Deserializer.hpp
@@ -91,6 +91,7 @@
     void ParsePermute(GraphPtr graph, unsigned int layerIndex);
     void ParsePooling2d(GraphPtr graph, unsigned int layerIndex);
     void ParseReshape(GraphPtr graph, unsigned int layerIndex);
+    void ParseResizeBilinear(GraphPtr graph, unsigned int layerIndex);
     void ParseRsqrt(GraphPtr graph, unsigned int layerIndex);
     void ParseSoftmax(GraphPtr graph, unsigned int layerIndex);
     void ParseSpaceToBatchNd(GraphPtr graph, unsigned int layerIndex);
diff --git a/src/armnnDeserializer/DeserializerSupport.md b/src/armnnDeserializer/DeserializerSupport.md
index ba85a04..0a1ef75 100644
--- a/src/armnnDeserializer/DeserializerSupport.md
+++ b/src/armnnDeserializer/DeserializerSupport.md
@@ -26,6 +26,7 @@
 * Permute
 * Pooling2d
 * Reshape
+* ResizeBilinear
 * Rsqrt
 * Softmax
 * SpaceToBatchNd
diff --git a/src/armnnDeserializer/test/DeserializeResizeBilinear.cpp b/src/armnnDeserializer/test/DeserializeResizeBilinear.cpp
new file mode 100644
index 0000000..b018324
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeResizeBilinear.cpp
@@ -0,0 +1,131 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../Deserializer.hpp"
+
+#include <string>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct ResizeBilinearFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit ResizeBilinearFixture(const std::string& inputShape,
+                                   const std::string& targetWidth,
+                                   const std::string& targetHeight,
+                                   const std::string& dataLayout,
+                                   const std::string& outputShape,
+                                   const std::string& dataType)
+    {
+        m_JsonString = R"(
+            {
+                inputIds: [0],
+                outputIds: [2],
+                layers: [
+                    {
+                        layer_type: "InputLayer",
+                        layer: {
+                            base: {
+                                layerBindingId: 0,
+                                base: {
+                                    index: 0,
+                                    layerName: "InputLayer",
+                                    layerType: "Input",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + inputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        }
+                                    }]
+                                }
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "ResizeBilinearLayer",
+                        layer: {
+                            base: {
+                                index: 1,
+                                layerName: "ResizeBilinearLayer",
+                                layerType: "ResizeBilinear",
+                                inputSlots: [{
+                                    index: 0,
+                                    connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                }],
+                                outputSlots: [{
+                                    index: 0,
+                                    tensorInfo: {
+                                        dimensions: )" + outputShape + R"(,
+                                        dataType: )" + dataType + R"(
+                                    }
+                                }]
+                            },
+                            descriptor: {
+                                targetWidth: )" + targetWidth + R"(,
+                                targetHeight: )" + targetHeight + R"(,
+                                dataLayout: )" + dataLayout + R"(,
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "OutputLayer",
+                        layer: {
+                            base:{
+                                layerBindingId: 2,
+                                base: {
+                                    index: 2,
+                                    layerName: "OutputLayer",
+                                    layerType: "Output",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:1, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + outputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        },
+                                    }],
+                                }
+                            }
+                        },
+                    }
+                ]
+            }
+        )";
+        SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
+    }
+};
+
+struct SimpleResizeBilinearFixture : ResizeBilinearFixture
+{
+    SimpleResizeBilinearFixture() : ResizeBilinearFixture("[1, 2, 2, 2]",
+                                                          "1",
+                                                          "1",
+                                                          "NCHW",
+                                                          "[1, 2, 1, 1]",
+                                                          "Float32") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(SimpleResizeBilinearFloat32, SimpleResizeBilinearFixture)
+{
+    RunTest<4, armnn::DataType::Float32>(0,
+                                         {
+                                              1.0f, 255.0f, 200.0f, 250.0f,
+                                            250.0f, 200.0f, 250.0f,   1.0f
+                                         },
+                                         {
+                                              1.0f, 250.0f
+                                         });
+}
+
+BOOST_AUTO_TEST_SUITE_END()
diff --git a/src/armnnSerializer/ArmnnSchema.fbs b/src/armnnSerializer/ArmnnSchema.fbs
index 410849e..dea5889 100644
--- a/src/armnnSerializer/ArmnnSchema.fbs
+++ b/src/armnnSerializer/ArmnnSchema.fbs
@@ -105,7 +105,8 @@
     Rsqrt = 21,
     Floor = 22,
     BatchNormalization = 23,
-    Greater = 24
+    Greater = 24,
+    ResizeBilinear = 25
 }
 
 // Base layer table to be used as part of other layers
@@ -364,6 +365,17 @@
     dataLayout:DataLayout;
 }
 
+table ResizeBilinearLayer {
+    base:LayerBase;
+    descriptor:ResizeBilinearDescriptor;
+}
+
+table ResizeBilinearDescriptor {
+    targetWidth:uint;
+    targetHeight:uint;
+    dataLayout:DataLayout;
+}
+
 union Layer {
     ActivationLayer,
     AdditionLayer,
@@ -389,7 +401,8 @@
     PadLayer,
     RsqrtLayer,
     FloorLayer,
-    GreaterLayer
+    GreaterLayer,
+    ResizeBilinearLayer
 }
 
 table AnyLayer {
diff --git a/src/armnnSerializer/Serializer.cpp b/src/armnnSerializer/Serializer.cpp
index b55adb2..d6df61c 100644
--- a/src/armnnSerializer/Serializer.cpp
+++ b/src/armnnSerializer/Serializer.cpp
@@ -424,6 +424,25 @@
     CreateAnyLayer(flatBufferReshapeLayer.o, serializer::Layer::Layer_ReshapeLayer);
 }
 
+void SerializerVisitor::VisitResizeBilinearLayer(const armnn::IConnectableLayer* layer,
+                                                 const armnn::ResizeBilinearDescriptor& resizeDescriptor,
+                                                 const char* name)
+{
+    auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ResizeBilinear);
+
+    auto flatBufferDescriptor =
+        CreateResizeBilinearDescriptor(m_flatBufferBuilder,
+                                       resizeDescriptor.m_TargetWidth,
+                                       resizeDescriptor.m_TargetHeight,
+                                       GetFlatBufferDataLayout(resizeDescriptor.m_DataLayout));
+
+    auto flatBufferLayer = serializer::CreateResizeBilinearLayer(m_flatBufferBuilder,
+                                                                 flatBufferBaseLayer,
+                                                                 flatBufferDescriptor);
+
+    CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ResizeBilinearLayer);
+}
+
 void SerializerVisitor::VisitRsqrtLayer(const armnn::IConnectableLayer* layer, const char* name)
 {
     auto fbRsqrtBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Rsqrt);
diff --git a/src/armnnSerializer/Serializer.hpp b/src/armnnSerializer/Serializer.hpp
index 164db19..bbc67d4 100644
--- a/src/armnnSerializer/Serializer.hpp
+++ b/src/armnnSerializer/Serializer.hpp
@@ -128,6 +128,10 @@
                            const armnn::ReshapeDescriptor& reshapeDescriptor,
                            const char* name = nullptr) override;
 
+    void VisitResizeBilinearLayer(const armnn::IConnectableLayer* layer,
+                                  const armnn::ResizeBilinearDescriptor& resizeDescriptor,
+                                  const char* name = nullptr) override;
+
     void VisitRsqrtLayer(const armnn::IConnectableLayer* layer,
                          const char* name = nullptr) override;
 
diff --git a/src/armnnSerializer/SerializerSupport.md b/src/armnnSerializer/SerializerSupport.md
index f18ef3a..6071c9c 100644
--- a/src/armnnSerializer/SerializerSupport.md
+++ b/src/armnnSerializer/SerializerSupport.md
@@ -26,6 +26,7 @@
 * Permute
 * Pooling2d
 * Reshape
+* ResizeBilinear
 * Rsqrt
 * Softmax
 * SpaceToBatchNd
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index 7206d6d..ad6676e 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -1208,4 +1208,46 @@
                                             {tensorInfo.GetShape()});
 }
 
+BOOST_AUTO_TEST_CASE(SerializeDeserializeResizeBilinear)
+{
+    class VerifyResizeBilinearName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy>
+    {
+    public:
+        void VisitResizeBilinearLayer(const armnn::IConnectableLayer*,
+                                      const armnn::ResizeBilinearDescriptor& descriptor,
+                                      const char* name) override
+        {
+            BOOST_TEST(name == "ResizeBilinearLayer");
+        }
+    };
+
+    armnn::ResizeBilinearDescriptor desc;
+    desc.m_TargetWidth = 4;
+    desc.m_TargetHeight = 2;
+
+    const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32);
+    const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32);
+
+    armnn::INetworkPtr network = armnn::INetwork::Create();
+    armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0);
+    armnn::IConnectableLayer* const resizeLayer = network->AddResizeBilinearLayer(desc, "ResizeBilinearLayer");
+    armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0);
+
+    inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0));
+    inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo);
+    resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
+    resizeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network));
+    BOOST_CHECK(deserializedNetwork);
+
+    VerifyResizeBilinearName nameChecker;
+    deserializedNetwork->Accept(nameChecker);
+
+    CheckDeserializedNetworkAgainstOriginal(*network,
+                                            *deserializedNetwork,
+                                            {inputTensorInfo.GetShape()},
+                                            {outputTensorInfo.GetShape()});
+}
+
 BOOST_AUTO_TEST_SUITE_END()