TensorFlow.NET (TF.NET) provides a .NET Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers with a powerful Machine Learning tool set without reinventing the wheel. Since the APIs are kept as similar as possible you can immediately adapt any existing TensorFlow code in C# or F# with a zero learning curve. Take a look at a comparison picture and see how comfortably a TensorFlow/Python script translates into a C# program with TensorFlow.NET.
Features
- .NET Standard binding for TensorFlow
- It aims to implement the complete Tensorflow API in C#
- Allows .NET developers to develop, train and deploy Machine Learning models
- TensorFlow.NET has built-in Keras high-level interface
- Released as an independent package TensorFlow.Keras
- SciSharp's philosophy allows a large number of machine learning code written in Python to be quickly migrated to .NET
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Released /v0.150.0-BERT-Model/README.md
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