sibe-0.2.0.1: Machine Learning algorithms

Safe Haskell	None
Language	Haskell2010

Numeric.Sibe

Documentation

data Network Source #

Constructors

O Layer
Layer :- Network infixr 5

Instances

Show Network Source #
Methods showsPrec :: Int -> Network -> ShowS # show :: Network -> String # showList :: [Network] -> ShowS #

data Layer Source #

Constructors

Layer
Fields biases :: !(Vector Double) nodes :: !(Matrix Double) activation :: Activation

Instances

Show Layer Source #
Methods showsPrec :: Int -> Layer -> ShowS # show :: Layer -> String # showList :: [Layer] -> ShowS #

type Input = Vector Double Source #

type Output = Vector Double Source #

type Activation = (Vector Double -> Vector Double, Vector Double -> Vector Double) Source #

forward :: Input -> Session -> Output Source #

forward' :: Input -> Session -> Output Source #

runLayer :: Input -> Layer -> Output Source #

runLayer' :: Input -> Layer -> Output Source #

randomLayer :: Seed -> (Int, Int) -> (Double, Double) -> Activation -> Layer Source #

randomNetwork :: Seed -> (Double, Double) -> Int -> [(Int, Activation)] -> (Int, Activation) -> Network Source #

buildNetwork :: Seed -> (Double, Double) -> Int -> [(Int, Int, Activation)] -> (Int, Int, Activation) -> Network Source #

saveNetwork :: Network -> String -> IO () Source #

loadNetwork :: [Activation] -> String -> IO Network Source #

train :: Input -> Network -> Output -> Double -> Network Source #

gd :: Session -> IO Session Source #

sgd :: Session -> IO Session Source #

run :: (Session -> IO Session) -> Session -> IO Session Source #

sigmoid :: Vector Double -> Vector Double Source #

sigmoid' :: Vector Double -> Vector Double Source #

softmax :: Vector Double -> Vector Double Source #

softmax' :: Vector Double -> Vector Double Source #

relu :: Vector Double -> Vector Double Source #

relu' :: Vector Double -> Vector Double Source #

crossEntropy :: Session -> Double Source #

crossEntropy' :: Vector Double -> Vector Double Source #

genSeed :: IO Seed Source #

replaceVector :: Vector Double -> Int -> Double -> Vector Double Source #

data Session Source #

Constructors

Session
Fields network :: Network training :: [(Vector Double, Vector Double)] test :: [(Vector Double, Vector Double)] learningRate :: Double epochs :: Int epoch :: Int batchSize :: Int chart :: [(Int, Double, Double)] drawChart :: Bool chartName :: String momentum :: Double debug :: Bool

Instances

Show Session Source #
Methods showsPrec :: Int -> Session -> ShowS # show :: Session -> String # showList :: [Session] -> ShowS #
Default Session Source #
Methods def :: Session #

accuracy :: Session -> Double Source #

learningRateDecay :: (Double, Double) -> Session -> Session Source #

ignoreBiases :: Session -> Session Source #

one :: Vector Double -> Vector Double Source #