https://github.com/Xamber/Varis

Golang Neural Network
https://github.com/Xamber/Varis

golang machine-learning neural-network perceptron

Last synced: 14 days ago
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Golang Neural Network

• Host: GitHub
• URL: https://github.com/Xamber/Varis
• Owner: Xamber
• License: mit
• Created: 2017-10-10T08:43:27.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-08-02T13:47:14.000Z (over 6 years ago)
• Last Synced: 2024-07-31T20:52:16.566Z (3 months ago)
• Topics: golang, machine-learning, neural-network, perceptron
• Language: Go
• Homepage:
• Size: 216 KB
• Stars: 55
• Watchers: 8
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        


    



# Varis

Neural Networks with GO

[![Build Status](https://travis-ci.org/Xamber/Varis.svg?branch=master)](https://travis-ci.org/Xamber/Varis)

[![Go Report Card](https://goreportcard.com/badge/github.com/Xamber/Varis)](https://goreportcard.com/report/github.com/Xamber/Varis)

[![API Reference](https://camo.githubusercontent.com/915b7be44ada53c290eb157634330494ebe3e30a/68747470733a2f2f676f646f632e6f72672f6769746875622e636f6d2f676f6c616e672f6764646f3f7374617475732e737667)](https://godoc.org/github.com/Xamber/Varis)

[![codecov](https://codecov.io/gh/Xamber/Varis/branch/master/graph/badge.svg)](https://codecov.io/gh/Xamber/Varis)

[![MIT License](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/xamber/Varis/blob/master/LICENSE.md)

[![Release](https://img.shields.io/github/tag/xamber/varis.svg?label=latest)](https://github.com/Xamber/Varis/releases/tag/release-0.1)

## About Package

Some time ago I decided to learn Go language and neural networks.

So it's my variation of Neural Networks library. I tried to make library for programmers (not for mathematics).

For now Varis is 0.1 version.

I would be happy if someone can find errors and give advices.

Thank you. Artem.

## Main features

- All neurons and synapses are goroutines.

- Golang channels for connecting neurons.

- No dependencies

## Installation

    go get github.com/Xamber/Varis

## Usage

```go

package main

import (

	"github.com/Xamber/Varis"

)

func main() {

	net := varis.CreatePerceptron(2, 3, 1)

	dataset := varis.Dataset{

		{varis.Vector{0.0, 0.0}, varis.Vector{1.0}},

		{varis.Vector{1.0, 0.0}, varis.Vector{0.0}},

		{varis.Vector{0.0, 1.0}, varis.Vector{0.0}},

		{varis.Vector{1.0, 1.0}, varis.Vector{1.0}},

	}

	trainer := varis.PerceptronTrainer{

		Network: &net,

		Dataset: dataset,

	}

	trainer.BackPropagation(10000)

	varis.PrintCalculation = true

	net.Calculate(varis.Vector{0.0, 0.0}) // Output: [0.9816677167418877]

	net.Calculate(varis.Vector{1.0, 0.0}) // Output: [0.02076530509106318]

	net.Calculate(varis.Vector{0.0, 1.0}) // Output: [0.018253250887023762]

	net.Calculate(varis.Vector{1.0, 1.0}) // Output: [0.9847884089930481]

}

```

## Roadmap 0.2-0.5

- Add locks

- Add training channels

- Improve speed

- Add error return to functions.

- Create more tests and benchmarks.

- Create server and cli realization for use Varis as a application

## Alternatives

[gonn](https://github.com/fxsjy/gonn) | [go-mind](https://github.com/stevenmiller888/go-mind) | [go-perceptron-go](https://github.com/made2591/go-perceptron-go)