models

type Network ¶

type Network struct {
	Inputs        int
	Hiddens       int
	Outputs       int
	HiddenWeights *mat.Dense
	OutputWeights *mat.Dense
	LearningRate  float64
	Targetmap     map[int]string
}

ANN & helper FUNCTIONS //////////////////////////////////////////////////////////////////////// 3 LAYER NEURAL NETWORK MODEL - initial code courtesy of ---> github.com/sausheong/gonn I have added multiple layers of functionality to make it avaialble to all sorts of custom datasets.

func CreateNN(input, hidden, output int, rate float64) (net Network)

func (net *Network) Predict(training [][]float64) [][]string

func (n *Network) Train(training [][]float64, trainingname []string, epochcount int)