Added a pointer to a Keras FAQ that explains key differences between model.predict(x) and model(x).
@@ -1752,6 +1752,10 @@ class Model(base_layer.Layer, version_utils.ModelVersionSelector):
Also, note the fact that test loss is not affected by
regularization layers like noise and dropout.
+ Note: See [this FAQ entry](
+ https://keras.io/getting_started/faq/#whats-the-difference-between-model-methods-predict-and-call)
+ for more details about the difference between `Model` methods `predict()`
+ and `__call__()`.
Args:
x: Input samples. It could be:
