Deep Learning For Gophers

This repository contains basic implementation of feedforward/backpropagation neural network from scratch in golang.

Install

go get -u github.com/RN0311/deep-learning-for-gophers

Code usage

import (
	"fmt"
	"github.com/RN0311/deep-learning-for-gophers/training"
)

Create a neural network:

n := deep.NewNeural(&deep.Config{
	/* Input dimensionality */
	Inputs: 2,
	/* Two hidden layers consisting of two neurons each, and a single output */
	Layout: []int{2, 2, 1},
	/* Activation functions: Sigmoid, Tanh, ReLU, Linear */
	Activation: deep.ActivationSigmoid,
	/* Determines output layer activation & loss function:*/
	Mode: deep.ModeBinary,
	/* Weight initializers: {deep.NewNormal(μ, σ), deep.NewUniform(μ, σ)} */
	Weight: deep.NewNormal(1.0, 0.0),
	/* Apply bias */
	Bias: true,
})

See examples/ to train model on Wine Dataset:

Output