diff --git a/docs/templates/getting-started/faq.md b/docs/templates/getting-started/faq.md
index 102e26dab..0ec2f3d62 100644
--- a/docs/templates/getting-started/faq.md
+++ b/docs/templates/getting-started/faq.md
@@ -134,13 +134,15 @@ to pass the learning phase flag to your function:
 get_3rd_layer_output = K.function([model.layers[0].input, K.learning_phase()],
                                   [model.layers[3].output])
 
-# output in train mode
-layer_output = get_3rd_layer_output([X, 1])[0]
+# output in train mode = 0
+layer_output = get_3rd_layer_output([X, 0])[0]
 
-# output in test mode
+# output in test mode = 1
 layer_output = get_3rd_layer_output([X, 1])[0]
 ```
 
+Another more flexible way of getting output from intermediate layers is to use the [functional API](/getting-started/functional-api-guide).
+
 ---
 
 ### How can I use Keras with datasets that don't fit in memory?