Neural Network for Go.

Overview

gonet

Documentation Go Report Card CircleCI Mentioned in Awesome Go

gonet is a Go module implementing multi-layer Neural Network.

Install

Install the module with:

go get github.com/dathoangnd/gonet

Import it in your project:

import "github.com/dathoangnd/gonet"

Example

This example will train a neural network to predict the outputs of XOR logic gates given two binary inputs:

package main

import (
	"fmt"
	"log"

	"github.com/dathoangnd/gonet"
)

func main() {
	// XOR traning data
	trainingData := [][][]float64{
		{{0, 0}, {0}},
		{{0, 1}, {1}},
		{{1, 0}, {1}},
		{{1, 1}, {0}},
	}

	// Create a neural network
	// 2 nodes in the input layer
	// 2 hidden layers with 4 nodes each
	// 1 node in the output layer
	// The problem is classification, not regression
	nn := gonet.New(2, []int{4, 4}, 1, false)

	// Train the network
	// Run for 3000 epochs
	// The learning rate is 0.4 and the momentum factor is 0.2
	// Enable debug mode to log learning error every 1000 iterations
	nn.Train(trainingData, 3000, 0.4, 0.2, true)

	// Predict
	testInput := []float64{1, 0}
	fmt.Printf("%f XOR %f => %f\n", testInput[0], testInput[1], nn.Predict(testInput)[0])
	// 1.000000 XOR 0.000000 => 0.943074

	// Save the model
	nn.Save("model.json")

	// Load the model
	nn2, err := gonet.Load("model.json")
	if err != nil {
		log.Fatal("Load model failed.")
	}
	fmt.Printf("%f XOR %f => %f\n", testInput[0], testInput[1], nn2.Predict(testInput)[0])
	// 1.000000 XOR 0.000000 => 0.943074
}

Documentation

See: https://pkg.go.dev/github.com/dathoangnd/gonet

License

This project is licensed under the MIT License - see the LICENSE file for details.

You might also like...
A multilayer perceptron network implemented in Go, with training via backpropagation.

Neural Go I'm in the process of making significant changes to this package, particularly, to make it more modular, and to base it around an actual lin

Generative Adversarial Network in Go via Gorgonia
Generative Adversarial Network in Go via Gorgonia

Generative adversarial networks Recipe for simple GAN in Golang ecosystem via Gorgonia library Table of Contents About Why Instruments Usage Code expl

Tpu-traffic-classifier - This small program creates ipsets and iptables rules for nodes in the Solana network

TPU traffic classifier This small program creates ipsets and iptables rules for

fonet is a deep neural network package for Go.

fonet fonet is a deep neural network package for Go. It's mainly created because I wanted to learn about neural networks and create my own package. I'

Artificial Neural Network

go-deep Feed forward/backpropagation neural network implementation. Currently supports: Activation functions: sigmoid, hyperbolic, ReLU Solvers: SGD,

Neural Network for Go.

gonet gonet is a Go module implementing multi-layer Neural Network. Install Install the module with: go get github.com/dathoangnd/gonet Import it in

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

This is a Go Interface to Open Neural Network Exchange (ONNX). Overview onnx-go contains primitives to decode a onnx binary model into a computation b

Golang Neural Network
Golang Neural Network

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

A neural network library built in Go

go-mind A neural network library built in Go. Usage import "github.com/stevenmiller888/go-mind" m := mind.New(0.7, 10000, 3, "sigmoid") m.Learn([][]

Example of Neural Network models of social and personality psychology phenomena

SocialNN Example of Neural Network models of social and personality psychology phenomena This repository gathers a collection of neural network models

The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes

DGL Operator The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network distributed or non-distributed training on Kubernetes

A command-line tool that uses a fake AI neural network to tell whether or not Ben is sus

Is ben sus? Let's use an AI neural network, trained by his own tweets to figure out. A command-line tool that uses a fake AI neural network to tell wh

Neural network in Go

network Package network is a simple implementation of a nonbiased neural network. The networks created by this package can be trained with backpropaga

Go (Golang) encrypted deep learning library; Fully homomorphic encryption over neural network graphs

DC DarkLantern A lantern is a portable case that protects light, A dark lantern is one who's light can be hidden at will. DC DarkLantern is a golang i

Gopher-ml - Simple neural network built in go

Building a neural network from scratch with Golang Simply neural network built i

network-node-manager is a kubernetes controller that controls the network configuration of a node to resolve network issues of kubernetes.
network-node-manager is a kubernetes controller that controls the network configuration of a node to resolve network issues of kubernetes.

Network Node Manager network-node-manager is a kubernetes controller that controls the network configuration of a node to resolve network issues of ku

K8s-network-config-operator - Kubernetes network config operator to push network config to switches

Kubernetes Network operator Will add more to the readme later :D Operations The

Neural Networks written in go

gobrain Neural Networks written in go Getting Started The version 1.0.0 includes just basic Neural Network functions such as Feed Forward and Elman Re

An implementation of Neural Turing Machines
An implementation of Neural Turing Machines

Neural Turing Machines Package ntm implements the Neural Turing Machine architecture as described in A.Graves, G. Wayne, and I. Danihelka. arXiv prepr

Comments
  • Store training parameters

    Store training parameters

    Is your feature request related to a problem? Please describe. I would like to save the number of iteration, learning rate and momentum factor in NN struct and can export to JSON file

    Describe the solution you'd like Add fields to NN struct to store training parameters.

    opened by noragalvin 1
Owner
Dat Hoang
Passionate Developer
Dat Hoang
Neural Network for Go.

gonet gonet is a Go module implementing multi-layer Neural Network. Install Install the module with: go get github.com/dathoangnd/gonet Import it in

Dat Hoang 77 Nov 25, 2022
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

This is a Go Interface to Open Neural Network Exchange (ONNX). Overview onnx-go contains primitives to decode a onnx binary model into a computation b

Olivier Wulveryck 456 Dec 24, 2022
Golang Neural Network

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

Artem Filippov 48 Sep 27, 2022
A neural network library built in Go

go-mind A neural network library built in Go. Usage import "github.com/stevenmiller888/go-mind" m := mind.New(0.7, 10000, 3, "sigmoid") m.Learn([][]

Steven Miller 166 Aug 27, 2022
Example of Neural Network models of social and personality psychology phenomena

SocialNN Example of Neural Network models of social and personality psychology phenomena This repository gathers a collection of neural network models

null 7 Dec 5, 2022
Neural network in Go

network Package network is a simple implementation of a nonbiased neural network. The networks created by this package can be trained with backpropaga

Shingirai Chanakira 0 Nov 25, 2021
Go (Golang) encrypted deep learning library; Fully homomorphic encryption over neural network graphs

DC DarkLantern A lantern is a portable case that protects light, A dark lantern is one who's light can be hidden at will. DC DarkLantern is a golang i

Raven 2 Oct 31, 2022
Neural Networks written in go

gobrain Neural Networks written in go Getting Started The version 1.0.0 includes just basic Neural Network functions such as Feed Forward and Elman Re

Go Machine Learning 531 Dec 20, 2022
An implementation of Neural Turing Machines

Neural Turing Machines Package ntm implements the Neural Turing Machine architecture as described in A.Graves, G. Wayne, and I. Danihelka. arXiv prepr

Fumin 398 Sep 13, 2022
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

EGNN - Pytorch Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch. May be eventually used for Alphafold2 replication.

Phil Wang 257 Dec 23, 2022