message: Slight rewording in Keras Layers RNN docs: backward compatible reason --> backward compatibility
diff: @@ -236,7 +236,7 @@ class RNN(Layer):
  `batch_size` is a scalar tensor that represents the batch size
  of the inputs. `dtype` is `tf.DType` that represents the dtype of
  the inputs.
  - For backward compatible reason, if this method is not implemented
  + For backward compatibility, if this method is not implemented
  by the cell, the RNN layer will create a zero filled tensor with the
  size of [batch_size, cell.state_size].
  In the case that `cell` is a list of RNN cell instances, the cells
  