decoder

type SoftMax struct {
	Lrate    float32                     `def:"0.1" desc:"learning rate"`
	Layers   []emer.Layer                `desc:"layers to decode"`
	NCats    int                         `desc:"number of different categories to decode"`
	Units    []Unit                      `desc:"unit values"`
	Sorted   []int                       `` /* 183-byte string literal not displayed */
	NInputs  int                         `desc:"number of inputs -- total sizes of layer inputs"`
	Inputs   []float32                   `desc:"input values, copied from layers"`
	Targ     int                         `desc:"current target index of correct category"`
	ValsTsrs map[string]*etensor.Float32 `view:"-" desc:"for holding layer values"`
	Weights  etensor.Float32             `desc:"synaptic weights: outer loop is units, inner loop is inputs"`
}

type Unit struct {
	Act float32 `desc:"final activation = e^Ge / sum e^Ge"`
	Net float32 `desc:"net input = sum x * w"`
	Exp float32 `desc:"exp(Net)"`
}