tfa.optimizers.Triangular2CyclicalLearningRate

View source on GitHub

A LearningRateSchedule that uses cyclical schedule.

Inherits From: CyclicalLearningRate

initial_learning_rate A scalar float32 or float64 Tensor or a Python number. The initial learning rate.
maximal_learning_rate A scalar float32 or float64 Tensor or a Python number. The maximum learning rate.
step_size A scalar float32 or float64 Tensor or a Python number. Step size.
scale_mode ['cycle', 'iterations']. Mode to apply during cyclic schedule
name (Optional) Name for the operation.

Methods

from_config

Instantiates a LearningRateSchedule from its config.

Args
config Output of get_config().

Returns
A LearningRateSchedule instance.

get_config

View source

__call__

View source

Call self as a function.