chore(README): unnecessary space

README.md

@@ -4,9 +4,9 @@ A simple Machine Learning library.
 
 ## Simple neural network
 ```haskell
-    import Numeric.Sibe
+import Numeric.Sibe
 
-    let a = (sigmoid, sigmoid') -- activation function
+let a = (sigmoid, sigmoid') -- activation function
     -- random network, seed 0, values between -1 and 1,
     -- two inputs, two nodes in hidden layer and a single output
     rnetwork = randomNetwork 0 (-1, 1) 2 [(2, a)] (1, a)
@@ -27,19 +27,19 @@ A simple Machine Learning library.
 
     initialCost = crossEntropy session
 
-    -- run gradient descent
-    -- you can also use `sgd`, see the notmnist example
-    newsession <- run gd session
+-- run gradient descent
+-- you can also use `sgd`, see the notmnist example
+newsession <- run gd session
 
-    let results = map (`forward` newsession) inputs
+let results = map (`forward` newsession) inputs
     rounded = map (map round . toList) results
 
     cost = crossEntropy newsession
 
-    putStrLn $ "- initial cost (cross-entropy): " ++ show initialCost
-    putStrLn $ "- actual result: " ++ show results
-    putStrLn $ "- rounded result: " ++ show rounded
-    putStrLn $ "- cost (cross-entropy): " ++ show cost
+putStrLn $ "- initial cost (cross-entropy): " ++ show initialCost
+putStrLn $ "- actual result: " ++ show results
+putStrLn $ "- rounded result: " ++ show rounded
+putStrLn $ "- cost (cross-entropy): " ++ show cost
 ```