https://github.com/lawrence-laz/tinn-dotnet

A tiny neural network library.
https://github.com/lawrence-laz/tinn-dotnet

artificial-intelligence csharp dotnet dotnet-core machine-learning neural-network

Last synced: about 1 year ago
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A tiny neural network library.

• Host: GitHub
• URL: https://github.com/lawrence-laz/tinn-dotnet
• Owner: lawrence-laz
• License: mit
• Created: 2021-01-17T11:46:35.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2023-10-08T09:49:01.000Z (over 2 years ago)
• Last Synced: 2025-04-14T12:03:53.050Z (about 1 year ago)
• Topics: artificial-intelligence, csharp, dotnet, dotnet-core, machine-learning, neural-network
• Language: C#
• Homepage:
• Size: 155 KB
• Stars: 3
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

          
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# Tinn: Tiny Neural Network

Tinn is a tiny and dependency free neural network implementation for dotnet.

It has three configurable layers: an input layer, a hidden layer and an output layer.

# How to get started?

Create a neural network:

```csharp

var network = new TinyNeuralNetwork(inputCount: 2, hiddenCount: 4, outputCount: 1); 

```

Load a data set:

```csharp

// This is XOR operation example.

var input = new float[][]

{

    new []{ 1f, 1f }, // --> 0f

    new []{ 1f, 0f }, // --> 1f

    new []{ 0f, 1f }, // --> 1f

    new []{ 0f, 0f }, // --> 0f

};

var expected = new float[][]

{

    new []{ 0f }, // <-- 1f ^ 1f

    new []{ 1f }, // <-- 1f ^ 0f

    new []{ 1f }, // <-- 0f ^ 1f

    new []{ 0f }, // <-- 0f ^ 0f

};

```

Train the network until a desired accuracy is achieved:

```csharp

for (int i = 0; i < input.Length; i++)

{

    network.Train(input[i], expected[i], 1f);

}

// Note: you will probably have to loop this for a few times until network improves.

```

Try to predict some values:

```csharp

var prediction = network.Predict(new [] { 1f, 1f });  

// Will return probability close to 0f, since 1 ^ 1 = 0.

```

For more examples see [the examples directory](https://github.com/lawrence-laz/tinn-dotnet/tree/main/example/) and [automated tests](https://github.com/lawrence-laz/tinn-dotnet/tree/main/test/Tinn.Tests).

---

The original library was written by [glouw in C](https://github.com/glouw/tinn).