TensorFlow for .NET and Unity ML Agents
Full TensorFlow binding for .NET by Lost Tech
TensorFlow for .NET and Unity ML Agents launched on January 4, 2021 with 10 votes, #1,055 of 3,157 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.
In plain words
TensorFlow for .NET and Unity ML Agents enables machine learning integration within .NET applications and the Unity game engine. It allows developers to build and deploy ML models in C# environments. The product is designed for .NET developers and game creators who want to incorporate machine learning capabilities into their projects. It bridges TensorFlow's ML framework with the .NET ecosystem, making neural networks accessible to developers working in these platforms.
written from the facts on this page · September 2026
From the sources
TensorFlow for .NET by Lost Tech allows you to create, train, and use machine learning models with the full power of TensorFlow API on C#, F# or any other .NET language. var input = tf .placeholder( tf .float32, new TensorShape ( null , 1), name: "x" ); var output = tf .placeholder( tf .float32, new TensorShape ( null , 1), name: "y" ); var hiddenLayer = tf . layers .dense(input, hiddenSize, activation: tf .sigmoid_fn, kernel_initializer: new ones_initializer (), bias_initializer: new random_uniform_initializer (minval: -x1, maxval: -x0), name: "hidden" ); var model = tf . layers .dense(hiddenLayer, units: 1, name: "output" ); var cost = tf . losses .mean_squared_error(output, model); var…from losttech.software
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