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TensorFlow.NET
.NET Standard bindings for Google's TensorFlow, enabling C# and F# developers to build, train, and deploy machine learning models.
LearningAPI available
Good for
Model TrainingModel Inference
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About TensorFlow.NET
TensorFlow.NET (TF.NET) is a .NET Standard binding for Google's TensorFlow, designed to bring data science capabilities to the .NET ecosystem. It implements the TensorFlow API in C#, enabling .NET developers to create, train, and deploy machine learning models using the cross-platform .NET Standard framework. TensorFlow.NET includes a built-in Keras high-level interface, available as the TensorFlow.Keras package. It allows developers to migrate Python-based TensorFlow code to .NET. ML.NET integrates TensorFlow.NET as a backend for model training and inference, improving .NET integration. The library provides APIs similar to TensorFlow/Python, aiming for a zero learning curve for developers familiar with TensorFlow. It supports both CPU and GPU versions with platform-specific packages. Documentation and examples are available to guide users in installation and usage.
Core Capabilities
TensorFlow.
