diff --git a/modules/dnn/CMakeLists.txt b/modules/dnn/CMakeLists.txt
index c72b3fb79..d1eb3161c 100644
--- a/modules/dnn/CMakeLists.txt
+++ b/modules/dnn/CMakeLists.txt
@@ -3,7 +3,7 @@ set(OPENCV_MODULE_IS_PART_OF_WORLD OFF)
 option(WITH_PROTOBUF "Build with libprotobuf" ON)
 
 if(NOT WITH_PROTOBUF)
-	message(FATAL_ERROR "libprotobuf is required for dnn module")
+  message(FATAL_ERROR "libprotobuf is required for dnn module")
 endif()
 
 find_package( Protobuf REQUIRED )
@@ -14,9 +14,13 @@ else()
   message(FATAL_ERROR "Could not find PROTOBUF Compiler")
 endif()
 
+ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-shadow -Wno-parentheses)
+
 file(GLOB PROTO_FILES src/*.proto)
 PROTOBUF_GENERATE_CPP(PROTO_HDRS PROTO_SRCS ${PROTO_FILES})
 
+include_directories(include src/caffe)
+
 ocv_add_module(dnn opencv_imgproc opencv_core opencv_highgui WRAP python matlab)
 ocv_glob_module_sources(${PROTO_SRCS} ${PROTO_HDRS})
 ocv_source_group("Src\\protobuf" FILES ${PROTO_SRCS} ${PROTO_HDRS})
@@ -27,4 +31,4 @@ ocv_create_module()
 target_link_libraries(opencv_dnn ${PROTOBUF_LIBRARIES})
 ocv_add_accuracy_tests()
 ocv_add_perf_tests()
-ocv_add_samples()
\ No newline at end of file
+ocv_add_samples()
diff --git a/modules/dnn/include/opencv2/dnn.hpp b/modules/dnn/include/opencv2/dnn.hpp
index fefd8373d..626433b18 100644
--- a/modules/dnn/include/opencv2/dnn.hpp
+++ b/modules/dnn/include/opencv2/dnn.hpp
@@ -1,167 +1,13 @@
 #ifndef __OPENCV_DNN_HPP__
 #define __OPENCV_DNN_HPP__
 
-#include <opencv2/core.hpp>
-#include <map>
-#include <vector>
-#include "dnn/dict.hpp"
+// This is an umbrealla header to include into you project.
+// We are free to change headers layout in dnn subfolder, so please include
+// this header for future compartibility
 
-namespace cv
-{
-namespace dnn
-{
-    class Layer;
-    class NetConfiguration;
-    class Net;
-    class Blob;
-    class LayerParams;
+#include <opencv2/dnn/dnn.hpp>
 
-    //wrapper over cv::Mat and cv::UMat
-    CV_EXPORTS class Blob
-    {
-        Mat m;
 
-    public:
-        Blob();
-        Blob(InputArray in);
+#endif /* __OPENCV_DNN_HPP__ */
 
-        void fill(InputArray in);
-        void fill(int ndims, const int *sizes, int type, void *data, bool deepCopy = true);
-        void create(int ndims, const int *sizes, int type = CV_32F);
 
-        bool empty() const;
-
-        Mat& getMatRef();
-        const Mat& getMatRef() const;
-        Mat getMat();
-        Mat getMat(int num, int channel);
-
-        int cols() const;
-        int rows() const;
-        Size size() const;
-
-        int channels() const;
-        int num() const;
-
-        Vec4i shape() const;
-    };
-
-    CV_EXPORTS class LayerParams : public Dict
-    {
-    public:
-
-        std::vector<Blob> learnedBlobs;
-    };
-
-    CV_EXPORTS class LayerRegister
-    {
-    public:
-
-        typedef Layer* (*Constuctor)();
-
-        CV_EXPORTS static void registerLayer(const String &type, Constuctor constructor);
-
-        CV_EXPORTS static void unregisterLayer(const String &type);
-
-        CV_EXPORTS static Ptr<Layer> createLayerInstance(const String &type);
-
-    private:
-        LayerRegister();
-        LayerRegister(const LayerRegister &lr);
-
-        static std::map<String, Constuctor> registeredLayers;
-    };
-
-    //this class allows to build new Layers
-    CV_EXPORTS class Layer
-    {
-    public:
-
-        //TODO: this field must be declared as public if we want support possibility to change these params in runtime
-        std::vector<Blob> learnedParams;
-
-        virtual ~Layer();
-
-        //type of Layer
-        virtual String type() const;
-
-        //setUp calls once (think that it's constructor)
-        virtual void setUp(LayerParams &params);
-
-        //maybe useless function
-        //shape of output blobs must be adjusted with respect to shape of input blobs
-        virtual void adjustShape(const std::vector<Blob> &inputs, std::vector<Blob> &outputs);
-
-        virtual void forward(std::vector<Blob> &inputs, std::vector<Blob> &outputs);
-
-        virtual int getNumInputs();
-        virtual int getNumOutputs();
-        //each input/output can be labeled to easily identify their using "layer_name.output_name"
-        virtual String getInputName(int inputNum);
-        virtual String getOutputName(int outputNum);
-    };
-    
-    //containers for String and int
-    typedef DictValue LayerId;
-    typedef DictValue BlobId;
-
-    CV_EXPORTS class Net
-    {
-    public:
-
-        CV_EXPORTS Net();
-        CV_EXPORTS ~Net();
-
-        CV_EXPORTS int addLayer(const String &name, const String &type, LayerParams &params = LayerParams());
-        CV_EXPORTS void deleteLayer(LayerId layer);
-        
-        //each output of each layer can be labeled by unique string label (as in Caffe)
-        //if label not specified then %layer_name%.%layer_output_id% can be used
-        void setOutputNames(LayerId layer, const std::vector<String> &outputNames);
-
-        CV_EXPORTS void connect(BlobId input, BlobId output);
-        CV_EXPORTS void connect(const std::vector<BlobId> &outputs, const std::vector<BlobId> &inputs);
-        CV_EXPORTS void connect(const std::vector<BlobId> &outputs, LayerId layer);
-
-        int getOutputId(LayerId layer, int outputNum);
-        int getInputId(LayerId layer, int inputNum);
-        int getLayerId(LayerId layer);
-
-        void forward();
-        void forward(LayerId toLayer);
-        void forward(LayerId startLayer, LayerId toLayer);
-        void forward(const std::vector<LayerId> &startLayers, const std::vector<LayerId> &toLayers);
-
-        //[Wished feature] Optimized smart forward(). Makes forward only for layers which wasn't changed after previous forward().
-        void forwardOpt(LayerId toLayer);
-        void forwardOpt(const std::vector<LayerId> &toLayers);
-
-        void setBlob(BlobId outputName, const Blob &blob);
-        Blob getBlob(BlobId outputName);
-        
-        void setParam(LayerId layer, int numParam, const Blob &blob);
-        void getParam(LayerId layer, int numParam);
-
-    private:
-
-        struct Impl;
-        Ptr<Impl> impl;
-    };
-
-    CV_EXPORTS class Importer
-    {
-    public:
-
-        virtual void populateNet(Net net) = 0;
-
-        virtual ~Importer();
-    };
-
-    CV_EXPORTS Ptr<Importer> createCaffeImporter(const String &prototxt, const String &caffeModel);
-
-}
-}
-
-#include "dnn/dnn.inl.hpp"
-
-#endif
diff --git a/modules/dnn/include/opencv2/dnn/dict.hpp b/modules/dnn/include/opencv2/dnn/dict.hpp
index 6740670ac..cd8be085c 100644
--- a/modules/dnn/include/opencv2/dnn/dict.hpp
+++ b/modules/dnn/include/opencv2/dnn/dict.hpp
@@ -35,7 +35,7 @@ struct DictValue
     DictValue &operator=(const DictValue &r);
 
     ~DictValue();
-    
+
 private:
     void release();
 };
@@ -57,14 +57,14 @@ public:
     }
 
     template <typename T>
-    const T &get(const String &name, const T &default) const
+    const T &get(const String &name, const T &default_value) const
     {
         _Dict::const_iterator i = dict.find(name);
 
         if (i != dict.end())
             return i->second.get<T>();
         else
-            return default;
+            return default_value;
     }
 
     template<typename T>
@@ -154,7 +154,7 @@ inline DictValue & DictValue::operator=(const DictValue &r)
 {
     if (&r == this)
         return *this;
-    
+
     release();
 
     //how to copy anonymous union without memcpy?
@@ -175,4 +175,4 @@ inline DictValue::DictValue(const DictValue &r)
 }
 
 }
-}
\ No newline at end of file
+}
diff --git a/modules/dnn/include/opencv2/dnn/dnn.hpp b/modules/dnn/include/opencv2/dnn/dnn.hpp
new file mode 100644
index 000000000..a8725b3fd
--- /dev/null
+++ b/modules/dnn/include/opencv2/dnn/dnn.hpp
@@ -0,0 +1,167 @@
+#ifndef __OPENCV_DNN_DNN_HPP__
+#define __OPENCV_DNN_DNN_HPP__
+
+#include <opencv2/core.hpp>
+#include <map>
+#include <vector>
+#include <opencv2/dnn/dict.hpp>
+
+namespace cv
+{
+namespace dnn
+{
+    class Layer;
+    class NetConfiguration;
+    class Net;
+    class Blob;
+    class LayerParams;
+
+    //wrapper over cv::Mat and cv::UMat
+    class CV_EXPORTS Blob
+    {
+    public:
+        Blob();
+        Blob(InputArray in);
+
+        void fill(InputArray in);
+        void fill(int ndims, const int *sizes, int type, void *data, bool deepCopy = true);
+        void create(int ndims, const int *sizes, int type = CV_32F);
+
+        bool empty() const;
+
+        Mat& getMatRef();
+        const Mat& getMatRef() const;
+        Mat getMat();
+        Mat getMat(int num, int channel);
+
+        int cols() const;
+        int rows() const;
+        Size size() const;
+
+        int channels() const;
+        int num() const;
+
+        Vec4i shape() const;
+
+    private:
+        Mat m;
+    };
+
+    class CV_EXPORTS LayerParams : public Dict
+    {
+    public:
+
+        std::vector<Blob> learnedBlobs;
+    };
+
+    class CV_EXPORTS LayerRegister
+    {
+    public:
+
+        typedef Layer* (*Constuctor)();
+
+        static void registerLayer(const String &type, Constuctor constructor);
+
+        static void unregisterLayer(const String &type);
+
+        static Ptr<Layer> createLayerInstance(const String &type);
+
+    private:
+        LayerRegister();
+        LayerRegister(const LayerRegister &lr);
+
+        static std::map<String, Constuctor> registeredLayers;
+    };
+
+    //this class allows to build new Layers
+    class CV_EXPORTS Layer
+    {
+    public:
+        //TODO: this field must be declared as public if we want support possibility to change these params in runtime
+        std::vector<Blob> learnedParams;
+
+        virtual ~Layer();
+
+        //type of Layer
+        virtual String type() const = 0;
+
+        //setUp calls once (think that it's constructor)
+        virtual void setUp(LayerParams &params) = 0;
+
+        //maybe useless function
+        //shape of output blobs must be adjusted with respect to shape of input blobs
+        virtual void adjustShape(const std::vector<Blob> &inputs, std::vector<Blob> &outputs) = 0;
+
+        virtual void forward(std::vector<Blob> &inputs, std::vector<Blob> &outputs) = 0;
+
+        virtual int getNumInputs();
+        virtual int getNumOutputs();
+        //each input/output can be labeled to easily identify their using "layer_name.output_name"
+        virtual String getInputName(int inputNum);
+        virtual String getOutputName(int outputNum);
+    };
+    
+    //containers for String and int
+    typedef DictValue LayerId;
+    typedef DictValue BlobId;
+
+    class CV_EXPORTS Net
+    {
+    public:
+
+        Net();
+        ~Net();
+
+        int addLayer(const String &name, const String &type, LayerParams &params = LayerParams());
+        void deleteLayer(LayerId layer);
+        
+        //each output of each layer can be labeled by unique string label (as in Caffe)
+        //if label not specified then %layer_name%.%layer_output_id% can be used
+        void setOutputNames(LayerId layer, const std::vector<String> &outputNames);
+
+        void connect(BlobId input, BlobId output);
+        void connect(const std::vector<BlobId> &outputs, const std::vector<BlobId> &inputs);
+        void connect(const std::vector<BlobId> &outputs, LayerId layer);
+
+        int getOutputId(LayerId layer, int outputNum);
+        int getInputId(LayerId layer, int inputNum);
+        int getLayerId(LayerId layer);
+
+        void forward();
+        void forward(LayerId toLayer);
+        void forward(LayerId startLayer, LayerId toLayer);
+        void forward(const std::vector<LayerId> &startLayers, const std::vector<LayerId> &toLayers);
+
+        //[Wished feature] Optimized smart forward(). Makes forward only for layers which wasn't changed after previous forward().
+        void forwardOpt(LayerId toLayer);
+        void forwardOpt(const std::vector<LayerId> &toLayers);
+
+        void setBlob(BlobId outputName, const Blob &blob);
+        Blob getBlob(BlobId outputName);
+        
+        void setParam(LayerId layer, int numParam, const Blob &blob);
+        void getParam(LayerId layer, int numParam);
+
+    private:
+
+        struct Impl;
+        Ptr<Impl> impl;
+    };
+
+    class CV_EXPORTS Importer
+    {
+    public:
+
+        virtual void populateNet(Net net) = 0;
+
+        virtual ~Importer();
+    };
+
+    CV_EXPORTS Ptr<Importer> createCaffeImporter(const String &prototxt, const String &caffeModel);
+
+}
+}
+
+#include <opencv2/dnn/dnn.inl.hpp>
+
+#endif  /* __OPENCV_DNN_DNN_HPP__ */
diff --git a/modules/dnn/include/opencv2/dnn/dnn.inl.hpp b/modules/dnn/include/opencv2/dnn/dnn.inl.hpp
index efd37af06..a03e05f34 100644
--- a/modules/dnn/include/opencv2/dnn/dnn.inl.hpp
+++ b/modules/dnn/include/opencv2/dnn/dnn.inl.hpp
@@ -7,26 +7,23 @@ namespace cv
 {
 namespace dnn
 {
-    inline 
-    Mat& Blob::getMatRef()
+    inline Mat& Blob::getMatRef()
     {
         return m;
     }
 
-    inline
-    const Mat& Blob::getMatRef() const
+    inline const Mat& Blob::getMatRef() const
     {
         return m;
     }
 
-    inline
-    Mat Blob::getMat()
+    inline Mat Blob::getMat()
     {
         return m;
     }
 
 
-    Mat Blob::getMat(int num, int channel)
+    inline Mat Blob::getMat(int num, int channel)
     {
         CV_Assert(false);
         return Mat();
diff --git a/modules/dnn/src/dnn.cpp b/modules/dnn/src/dnn.cpp
index acfa00b47..538b42036 100644
--- a/modules/dnn/src/dnn.cpp
+++ b/modules/dnn/src/dnn.cpp
@@ -90,10 +90,31 @@ String toString(const T &v)
     return ss.str();
 }
 
+int Layer::getNumInputs()
+{
+    return 1;
+}
+
+int Layer::getNumOutputs()
+{
+    return 1;
+}
+
 cv::String Layer::getInputName(int inputNum)
 {
     return "input" + toString(inputNum);
 }
 
+
+cv::String Layer::getOutputName(int outputNum)
+{
+    return "output" + toString(outputNum);
+}
+
+Layer::~Layer()
+{
+
+}
+
 }
 }
\ No newline at end of file
diff --git a/modules/dnn/src/precomp.hpp b/modules/dnn/src/precomp.hpp
index 630af81d2..7dcb7282e 100644
--- a/modules/dnn/src/precomp.hpp
+++ b/modules/dnn/src/precomp.hpp
@@ -1,2 +1,2 @@
 #include <opencv2/core.hpp>
-#include <opencv2/dnn.hpp>
\ No newline at end of file
+#include <opencv2/dnn.hpp>