Update README.md

README.md

@@ -4,7 +4,32 @@ RBF layer for Keras
 You need rbflayer.py to use RBF layers in keras. See test.py for
 very simple example.
 
-
 Feel free to use or modify the code. 
 
+## Usage:
+
+```
+  # creating RBF network
+  rbflayer = RBFLayer(10,
+                      initializer=InitCentersRandom(X),
+                      betas=2.0,
+                      input_shape=(num_inputs,))
+
+  model = Sequential()
+  model.add(rbflayer)
+  model.add(Dense(n_outputs))
+``` 
+
+or using KMeans clustering for RBF centers 
+
+```
+  # creating RBFLayer with centers found by KMeans clustering
+  rbflayer = RBFLayer(10,
+                      initializer=InitCentersKMeans(X),
+                      betas=2.0,
+                      input_shape=(num_inputs,))
+``` 
+
+
+
 Hint how to implement different radii for different dimensions: [#1](https://github.com/PetraVidnerova/rbf_keras/issues/1)