27 lines
984 B
Haskell
27 lines
984 B
Haskell
module Main where
|
|
import Sibe
|
|
import Numeric.LinearAlgebra
|
|
import Data.List
|
|
import Debug.Trace
|
|
|
|
main = do
|
|
let learning_rate = 0.5
|
|
(iterations, epochs) = (2, 1000)
|
|
rnetwork = randomNetwork 0 2 [8] 1 -- two inputs, 8 nodes in a single hidden layer, 1 output
|
|
|
|
inputs = [vector [0, 1], vector [1, 0], vector [1, 1], vector [0, 0]]
|
|
labels = [vector [1], vector [1], vector [0], vector [0]]
|
|
|
|
network = session inputs rnetwork labels learning_rate (iterations, epochs)
|
|
results = map (`forward` network) inputs
|
|
rounded = map (map round . toList) results
|
|
|
|
putStrLn "parameters: "
|
|
putStrLn $ "- inputs: " ++ show inputs
|
|
putStrLn $ "- labels: " ++ show labels
|
|
putStrLn $ "- learning rate: " ++ show learning_rate
|
|
putStrLn $ "- iterations/epochs: " ++ show (iterations, epochs)
|
|
putStrLn "results: "
|
|
putStrLn $ "- actual result: " ++ show results
|
|
putStrLn $ "- rounded result: " ++ show rounded
|