fsmn

Documentation

Index

• type Model
  • func New(in, out, order int) *Model
  • func (m *Model) Forward(xs ...ag.Node) []ag.Node
  • func (m *Model) SetInitialState(state *State)
• type State

Types

type Model

type Model struct {
	nn.BaseModel
	W      nn.Param   `spago:"type:weights"`
	WRec   nn.Param   `spago:"type:weights"`
	WS     []nn.Param `spago:"type:weights"` // coefficient vectors for scaling
	B      nn.Param   `spago:"type:biases"`
	Order  int
	States []*State `spago:"scope:processor"`
}

Model implements a variant of the Feedforward Sequential Memory Networks (https://arxiv.org/pdf/1512.08301.pdf) where the neurons in the same hidden layer are independent of each other and they are connected across layers as in the IndRNN.

func New

func New(in, out, order int) *Model

New returns a new model with parameters initialized to zeros.

func (*Model) Forward

func (m *Model) Forward(xs ...ag.Node) []ag.Node

Forward performs the forward step for each input node and returns the result.

func (*Model) SetInitialState

func (m *Model) SetInitialState(state *State)

SetInitialState sets the initial state of the recurrent network. It panics if one or more states are already present.

type State

type State struct {
	Y ag.Node
}

State represent a state of the FSMN recurrent network.