message: [tensorflow/python/keras/optimizer_v2/ftrl.py] Reflect defaults in docstring
diff: @@ -64,16 +64,16 @@ class Ftrl(optimizer_v2.OptimizerV2):
  initial_accumulator_value: The starting value for accumulators.
  Only zero or positive values are allowed.
  l1_regularization_strength: A float value, must be greater than or
  - equal to zero.
  + equal to zero. Defaults to 0.0.
  l2_regularization_strength: A float value, must be greater than or
  - equal to zero.
  + equal to zero. Defaults to 0.0.
  name: Optional name prefix for the operations created when applying
  gradients. Defaults to `"Ftrl"`.
  l2_shrinkage_regularization_strength: A float value, must be greater than
  or equal to zero. This differs from L2 above in that the L2 above is a
  stabilization penalty, whereas this L2 shrinkage is a magnitude penalty.
  When input is sparse shrinkage will only happen on the active weights.
  - beta: A float value, representing the beta value from the paper.
  + beta: A float value, representing the beta value from the paper. Defaults to 0.0.
  **kwargs: Keyword arguments. Allowed to be one of
  `"clipnorm"` or `"clipvalue"`.
  `"clipnorm"` (float) clips gradients by norm; `"clipvalue"` (float) clips
  