Change style of first example in README
@@ -52,12 +52,10 @@ model = Sequential()
Stacking layers is as easy as `.add()`:
```python
-from keras.layers import Dense, Activation
+from keras.layers import Dense
-model.add(Dense(units=64, input_dim=100))
-model.add(Activation('relu'))
-model.add(Dense(units=10))
-model.add(Activation('softmax'))
+model.add(Dense(units=64, activation='relu', input_dim=100))
+model.add(Dense(units=10, activation='softmax'))
```
Once your model looks good, configure its learning process with `.compile()`:
