neural-0.3.0.1: examples/sin/sin.hs
{-# LANGUAGE DataKinds #-}
import Control.Category
import Control.Monad.Random
import Data.MyPrelude
import Data.Utils
import Graph
import Numeric.Neural
import qualified System.Console.ANSI as ANSI
import Prelude hiding ((.))
main :: IO ()
main = flip evalRandT (mkStdGen 739570) $ do
let xs = [0, 0.01 .. 2 * pi]
m <- modelR $ whiten sinModel xs
runEffect $
simpleBatchP [(x, sin x) | x <- xs] 10
>-> descentP m 1 (const 0.5)
>-> reportTSP 50 report
>-> consumeTSP check
where
sinModel :: StdModel (Vector 1) (Vector 1) Double Double
sinModel = mkStdModel
(tanhLayer . (tanhLayer :: Layer 1 4))
(\x -> Diff $ Identity . sqDiff (pure $ fromDouble x))
pure
vhead
getError ts =
let m = tsModel ts
in maximum [abs (sin x - model m x) | x <- [0, 0.1 .. 2 * pi]]
report ts = liftIO $ do
ANSI.clearScreen
ANSI.setSGR [ANSI.SetColor ANSI.Foreground ANSI.Vivid ANSI.Red]
ANSI.setCursorPosition 0 0
printf "Generation %d\n" (tsGeneration ts)
ANSI.setSGR [ANSI.Reset]
graph (model (tsModel ts)) 0 (2 * pi) 20 50
check ts = return $ if getError ts < 0.1 then Just () else Nothing