Varis

Neural Networks with GO

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

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 | go-mind | go-perceptron-go