Practical examples written in SciSharp's machine learning libraries
APACHE-2.0 License
This repo contains many practical examples written in SciSharp's machine learning libraries. If you still don't know how to use .NET for deep learning, getting started from these examples is your best choice.
Requirements:
Run specific example in shell:
:: run all examples from source code
dotnet run --project src/TensorFlowNET.Examples
:: run specific example
dotnet run --project src/TensorFlowNET.Examples -ex "Linear Regression (Graph)"
:: run in compiled library
dotnet TensorFlowNET.Examples.dll -ex "MNIST CNN (Eager)"
:: run all examples from source code
dotnet run --project src/TensorFlowNET.Examples.FSharp
:: run specific example
dotnet run --project src/TensorFlowNET.Examples.FSharp -ex "Linear Regression (Eager)"
:: run in compiled library
dotnet TensorFlowNET.Examples.FSharp.dll -ex "MNIST CNN (Eager)"
Example runner will download all the required files like training data and model pb files.
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