message: Updated documentation of TimeDistributed
  It is not clear that the weights are shared at the current documentation. I saw this question repeats at stack overflow (https://stackoverflow.com/questions/43265084/keras-timedistributed-are-weights-shared), and I thought it is worth writing that explicitly.
diff: @@ -102,6 +102,9 @@ class TimeDistributed(Wrapper):
  >>> outputs.shape
  TensorShape([None, 10, 126, 126, 64])
  + Because `TimeDistributed` applies an instance of `Conv2D` to each of the
  + timestamps, the weights used at each timestamp are shared.
  +
  Arguments:
  layer: a `tf.keras.layers.Layer` instance.
  