message: Fix documentation for Adagrad
diff: @@ -69,9 +69,8 @@ class Adagrad(optimizer_v2.OptimizerV2):
  Args:
  learning_rate: A `Tensor` or a floating point value. The learning rate.
  initial_accumulator_value: A floating point value.
  - Starting value for the accumulators, must be positive.
  - epsilon: A floating point value.
  - Starting value for the accumulators, must be positive.
  + Starting value for the accumulators, must be non-negative.
  + epsilon: A small floating point value to avoid zero denominator.
  name: Optional name prefix for the operations created when applying
  gradients. Defaults to "Adagrad".
  **kwargs: keyword arguments. Allowed to be {`clipnorm`, `clipvalue`, `lr`,
  