xmachina

README

References

Machine Learning

Feed Forward Neural networks

• simple network implementation example
• numeric backpropagation step by step
• mnist neural network in go

Recurrent neural networks

• recurrent neural networks
• recurrent neural network in go

LSTM neural networks

• lstm backpropagation

Mathematics

Activation functions

• softmax
• activation functions
• activation functions derivatives
• sigmoid derivative

Documentation

Index

• func ReadFile(filename string, lines int, iterations int, ...) (inputSet, outputSet xmath.Matrix, readErr error)
• func TrainInMem(config InMemTraining, network net.NN, inputSet xmath.Matrix, ...)
• func TrainInStream(ctx context.Context, config InStreamTraining, network net.NN, data DataSource, ...)
• type Ack
• type Data
• type DataSource
• type Epoch
• type InMemTraining
  • func Training(threshold float64, epochLogInterval int) InMemTraining
• type InStreamTraining
  • func StreamingTraining(cfg InMemTraining, outputSize int, inputLogInterval int) InStreamTraining
• type NoSet
  • func VoidSet() *NoSet
  • func (n *NoSet) Add(name string, v ...float64)
  • func (n *NoSet) Export(index string) error
  • func (n *NoSet) Init(sets ...Set) Data
• type Pair
• type Set

Functions

func ReadFile

func ReadFile(filename string, lines int, iterations int, parse func(record []string) (inp, out xmath.Vector), data DataSource, epoch Epoch, ack Ack) (inputSet, outputSet xmath.Matrix, readErr error)

func TrainInMem

func TrainInMem(config InMemTraining, network net.NN, inputSet xmath.Matrix, outputSet xmath.Matrix)

func TrainInStream

func TrainInStream(ctx context.Context, config InStreamTraining, network net.NN, data DataSource, ack Ack)

Types

type Ack

type Ack chan error

type Data

type Data interface {
	Init(sets ...Set) Data
	Add(name string, v ...float64)
	Export(index string) error
}

type DataSource

type DataSource chan Pair

type Epoch

type Epoch chan int

type InMemTraining

type InMemTraining struct {
	// contains filtered or unexported fields
}

func Training

func Training(threshold float64, epochLogInterval int) InMemTraining

type InStreamTraining

type InStreamTraining struct {
	InMemTraining
	Epoch Epoch
	// contains filtered or unexported fields
}

func StreamingTraining

func StreamingTraining(cfg InMemTraining, outputSize int, inputLogInterval int) InStreamTraining

type NoSet

type NoSet struct {
}

func VoidSet

func VoidSet() *NoSet

func (*NoSet) Add

func (n *NoSet) Add(name string, v ...float64)

func (*NoSet) Export

func (n *NoSet) Export(index string) error

func (*NoSet) Init

func (n *NoSet) Init(sets ...Set) Data

type Pair

type Pair struct {
	// contains filtered or unexported fields
}

type Set

type Set struct {
	Name string
	X, Y string
}