Grenade.Layers.Logit

Documentation

data Logit

A Logit layer.

A layer which can act between any shape of the same dimension, perfoming an sigmoid function. This layer should be used as the output layer of a network for logistic regression (classification) problems.

Constructors

Logit

Instances

Show Logit

Methods

showsPrec :: Int -> Logit -> ShowS

show :: Logit -> String

showList :: [Logit] -> ShowS

Serialize Logit

Methods

put :: Putter Logit

get :: Get Logit

UpdateLayer Logit

Associated Types

type Gradient Logit :: *

Methods

runUpdate :: LearningParameters -> Logit -> Gradient Logit -> Logit

createRandom :: MonadRandom m => m Logit

runUpdates :: LearningParameters -> Logit -> [Gradient Logit] -> Logit

((~) Shape a b, SingI Shape a) => Layer Logit a b

Associated Types

type Tape Logit (a :: Shape) (b :: Shape) :: *

Methods

runForwards :: Logit -> S a -> (Tape Logit a b, S b)

runBackwards :: Logit -> Tape Logit a b -> S b -> (Gradient Logit, S a)

type Gradient Logit

type Gradient Logit = ()

type Tape Logit a b

type Tape Logit a b = S a