Merge pull request #377 from microsoft/user/sheilk/add-net5-sample

Add .NET5 Squeezenet Sample

.gitignore

@@ -46,7 +46,6 @@ dlldata.c
 project.lock.json
 project.fragment.lock.json
 artifacts/
-**/Properties/launchSettings.json
 
 *_i.c
 *_p.c

README.md

@@ -37,6 +37,7 @@ These generic examples show how to use various models and input feeds with Windo
 - **[SqueezeNetObjectDetection\UWP\cs](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/UWP/cs)**: a UWP C# app that uses the SqueezeNet model to detect the predominant object in an image.
 - **[SqueezeNetObjectDetection\UWP\js](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/UWP/js)**: a UWP Javascript app that uses the SqueezeNet model to detect the predominant object in an image. 
 - **[SqueezeNetObjectDetection\Desktop\cpp](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/Desktop/cpp)**: a classic desktop C++/WinRT app that uses the SqueezeNet model to detect the predominant object in an image.
+- **[SqueezeNetObjectDetection\NET5\cs](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/NET5)**: a .NET5 application that uses the SqueezeNet model to detect the predominant object in an image.
 - **[SqueezeNetObjectDetection\NETCore\cs](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/Desktop/cpp)**: a .NET Core 2 application that uses the SqueezeNet model to detect the predominant object in an image.
 - **[StyleTransfer](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/StyleTransfer)**: a UWP C# app that uses a custom C++ Video Effect to apply style transfer in real-time to videos. 
 - **[MNIST\UWP\cs](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/MNIST/Tutorial/cs)**: a UWP C# app that uses the MNIST model to detect handwritten numbers.