diff --git a/README.md b/README.md
index 03ad54e..e30e7bb 100644
--- a/README.md
+++ b/README.md
@@ -19,23 +19,21 @@ Create new network:
 
   //...
 
-  // Network has 9 enters and 3 layers 
+  // Network has 9 enters and 3 layers
   // ( 9 neurons, 9 neurons and 4 neurons).
   // Last layer is network output.
   n := neural.NewNetwork(9, []int{9,9,4})
   // Randomize sypaseses weights
   n.RandomizeSynapses()
-  
-  result := n.Calucate([]float64{0,1,0,1,1,1,0,1,0})
-  
-```
+
+  result := n.Calculate([]float64{0,1,0,1,1,1,0,1,0})
 
 # Persist network
 
 Save to file:
 
 ```go
-  import "github.com/NOX73/or-neural/persist"
+  import "github.com/NOX73/go-neural/persist"
 
   persist.ToFile("/path/to/file.json", network)
 ```
@@ -66,7 +64,7 @@ You can get estimate of learning quality:
   e := learn.Evaluation(network, in, idealOut)
 ```
 
-# Engine 
+# Engine
 
 For concurrent learn, calculate & dump neural network.