Add documentation link in sequential model.
@@ -225,7 +225,7 @@ model.fit([data_1, data_2], labels, epochs=10, batch_size=32)
Here are a few examples to get you started!
-In the examples folder, you will also find example models for real datasets:
+In the [examples folder](https://github.com/fchollet/keras/tree/master/examples), you will also find example models for real datasets:
- CIFAR10 small images classification: Convolutional Neural Network (CNN) with realtime data augmentation
- IMDB movie review sentiment classification: LSTM over sequences of words
