Updated dnn build tutorial

modules/dnn/tutorials/tutorial_dnn_build.markdown

@@ -1,9 +1,9 @@
-Build dnn module {#tutorial_dnn_build}
-================
+Build opencv_contrib with dnn module {#tutorial_dnn_build}
+====================================
 
 Introduction
 ------------
-opencv_dnn module is placed in the secondary [opencv_contrib](https://github.com/Itseez/opencv_contrib) repositroy,
+opencv_dnn module is placed in the secondary [opencv_contrib](https://github.com/Itseez/opencv_contrib) repository,
 which isn't distributed in binary form, therefore you need to build it manually.
 
 To do this you need to have installed: [CMake](http://www.cmake.org/download), git, and build system (*gcc* with *make* for Linux or *MS Visual Studio* for Windows)
@@ -20,20 +20,26 @@ git clone https://github.com/Itseez/opencv
 git clone https://github.com/Itseez/opencv_contrib
 @endcode
 
--# Run [CMake-gui](https://www.johnlamp.net/cmake-tutorial-3-gui-tool.html) and set source and build directories:
+-# Run [CMake-gui] and set source and build directories:
 
     - Set source code directory to **opencv_root**/opencv;
 
-    - Set binaries directory, for exmaple, to **opencv_root**/build_opencv.
+    - Set binaries directory, for example, to **opencv_root**/build_opencv.
       This directory will contain built libraries.
 
+![](images/build_1.png)
+
 -# Configure opencv:
        - press *Configure*;
-       - choose the preffered project generator (Makefiles for Linux, MS Visual Studio for Windows);
+       - choose the preferred project generator (Makefiles for Linux, MS Visual Studio for Windows);
        - also you can set many opencv build options, for more details see @ref tutorial_linux_install.
 
+![](images/build_2.png)
+
 -# In the appeared list of build parameters find parameter `OPENCV_EXTRA_MODULES_PATH` and set it to the **opencv_root**/opencv_contrib.
 
+![](images/build_3.png)
+
 -# *Configure* the project again, and set build options of dnn module:
 
     - `BUILD_opencv_dnn` parameter must exist and be checked.
@@ -43,16 +49,23 @@ git clone https://github.com/Itseez/opencv_contrib
       You you can uncheck `BUILD_LIBPROTOBUF_FROM_SOURCES` flag to try use protobuf installed in your system.
       Elsewise libpotobuf will be built from opencv sources.
 
-    - You can additionaly check `opencv_dnn_BUILD_TORCH_IMPORTER` parameter to build [Torch7](http://torch.ch) importer.
+    - You can additionally check `opencv_dnn_BUILD_TORCH_IMPORTER` parameter to build [Torch7](http://torch.ch) importer.
        It allows you to use networks, generated by Torch7 [nn](https://github.com/torch/nn/blob/master/README.md) module.
 
--# *Generate* the project and build it:
+![](images/build_4.png)
+
+-# Press *Configure* and *Generate*.
+
+![](images/build_5.png)
+
+-# Build the generated project:
     - If Makefiles generator on Unix was used, run the following in terminal:
       @code
       cd opencv_root/build_opencv
       make all
       @endcode
-    - If MS Visual Studio generator was used, then open OpenCV.sln from **opencv_root**/build_opencv folder in the Visual Studio, and build it by using F7 shortcut
+    - If MS Visual Studio generator was used, then open OpenCV.sln from **opencv_root**/build_opencv folder in the Visual Studio,
+      and build it by choosing **Build** -> **Build Solution** menu or using **F7** short-cut.
 
 -# Now you can build own program by using libraries were built into **opencv_root**/build_opencv/lib.
    See the following tutorials to learn how to create a program using OpenCV:

modules/dnn/tutorials/tutorial_dnn_googlenet.markdown

@@ -7,7 +7,7 @@ Introduction
 In this tutorial you will learn how to use opencv_dnn module for image classification by using
 GoogLeNet trained network from [Caffe model zoo](http://caffe.berkeleyvision.org/model_zoo.html).
 
-We will demostrate results of this example on the following picture.
+We will demonstrate results of this example on the following picture.
 ![Buran space shuttle](images/space_shuttle.jpg)
 
 Source Code