This is the Windows app named When to use TensorFlowSharp whose latest release can be downloaded as TensorFlowSharpv1.7.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
When to use TensorFlowSharp
DESCRIPTION:
When to use TensorFlowSharp is a .NET binding for the TensorFlow machine learning framework that allows developers to run TensorFlow models directly from C# and other .NET languages. The project exposes TensorFlow’s native C API through a strongly typed interface designed to integrate naturally with the .NET ecosystem. Its primary purpose is to enable developers working in Microsoft-based environments to load trained TensorFlow models and perform inference or additional training within .NET applications. The library focuses mainly on providing access to the low-level TensorFlow runtime rather than offering the high-level abstractions commonly available in Python libraries like Keras. This design allows applications written in C# or F# to execute machine learning graphs produced by Python workflows while maintaining compatibility with the TensorFlow runtime.
Features
- .NET bindings that expose the TensorFlow C API to C# and F#
- Ability to load and execute trained TensorFlow models inside .NET applications
- Integration with the .NET ecosystem using familiar naming conventions
- Compatibility with models trained in Python frameworks such as TensorFlow or Keras
- NuGet package distribution including required native runtime libraries
- Low-level access to TensorFlow operations and computational graphs
Programming Language
C#
Categories
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