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https://github.com/Xamber/Varis
Golang Neural Network
https://github.com/Xamber/Varis
golang machine-learning neural-network perceptron
Last synced: about 2 months ago
JSON representation
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 (4 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 mainimport (
"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 = truenet.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)