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Add a backend optimizer for adafactor. #679

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Add a backend optimizer for adafactor. #679

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2 changes: 1 addition & 1 deletion tf_keras/optimizers/adafactor.py
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Expand Up @@ -40,7 +40,7 @@ class Adafactor(optimizer.Optimizer):
The default argument setup is based on the original paper (see reference).
When gradients are of dimension > 2, Adafactor optimizer will delete the
last 2 dimensions separately in its accumulator variables.

Args:
learning_rate: Initial value for the learning rate:
either a floating point value,
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