Tensor Flow 2.0 Serving C# client example with gRPC and Rest. There are MNIST CNN prediction model example and ASP.NET Core 5.0 client application with ReactJS/Redux/Typescript front end.
- learning - python scripts with MNIST CNN model preparing using Keras and Tensorflow 2.0.
- ClientBaseLib - base library with TF Serving gRPC generated classes and utils classes to create Tensors on C# .NET Core 5 . (Code compatible with TF 1.0)
- ASP.NET Core 5.0/ ReactJS/Redux Client - SPA application gRPC/Rest clients for MNIST prediction TensorFlow 2.0 Serving
- Docker
- Windows 10
- MSVS 2019
- VS Code
- Run command promt in root directory in repository
cd src- Init TensorFlowServing docker image with code (Required only first time)
init_tensorflow_serving_in_docker.bat
- Run trained model in TensorFlowServing docker container
start run_all_models_serving_in_docker.bat
- Build and Run .Net Client Application
start run_client.bat
- Navigate to http://localhost:5000/ and test prediction app
