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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