neuralnetworking

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neuralnetworking

Documentation

Index

• type Layer
  • func BuildLayer(previousLayer int, thisLayer int) Layer
  • func (l Layer) CalculateOutput(previousLayer []float64) []float64
• type Network
  • func BuildNetwork(descriptor []int) Network
  • func BuildRandomNetwork(descriptor []int) Network
  • func (n Network) CalculateOutput(initialLayer []float64) []float64
  • func (b *Network) Mutate(biasMutationFactor float64, biasMutationProbability float64, ...) Network
  • func (n *Network) Randomize()
• type Neuron
  • func BuildNeuron(previousLayer int) Neuron
  • func (n Neuron) CalculateOutput(previousLayer []float64) float64

Types

type Layer

type Layer struct {
	Neurons []Neuron
}

func BuildLayer

func BuildLayer(previousLayer int, thisLayer int) Layer

func (Layer) CalculateOutput

func (l Layer) CalculateOutput(previousLayer []float64) []float64

type Network

type Network struct {
	Layers []Layer
}

func BuildNetwork

func BuildNetwork(descriptor []int) Network

func BuildRandomNetwork

func BuildRandomNetwork(descriptor []int) Network

func (Network) CalculateOutput

func (n Network) CalculateOutput(initialLayer []float64) []float64

func (*Network) Mutate

func (b *Network) Mutate(biasMutationFactor float64, biasMutationProbability float64, weightMutationFactor float64, weightMutationProbability float64, descriptor []int) Network

func (*Network) Randomize

func (n *Network) Randomize()

type Neuron

type Neuron struct {
	Weights []float64
	Bias    float64
}

func BuildNeuron

func BuildNeuron(previousLayer int) Neuron

func (Neuron) CalculateOutput

func (n Neuron) CalculateOutput(previousLayer []float64) float64