tf.keras.experimental.NoisyLinearCosineDecay

TensorFlow 1 version View source on GitHub

A LearningRateSchedule that uses a noisy linear cosine decay schedule.

Inherits From: LearningRateSchedule

tf.keras.experimental.NoisyLinearCosineDecay(
    initial_learning_rate, decay_steps, initial_variance=1.0, variance_decay=0.55,
    num_periods=0.5, alpha=0.0, beta=0.001, name=None
)

Args:

  • initial_learning_rate: A scalar float32 or float64 Tensor or a Python number. The initial learning rate.
  • decay_steps: A scalar int32 or int64 Tensor or a Python number. Number of steps to decay over.
  • initial_variance: initial variance for the noise. See computation above.
  • variance_decay: decay for the noise's variance. See computation above.
  • num_periods: Number of periods in the cosine part of the decay. See computation above.
  • alpha: See computation above.
  • beta: See computation above.
  • name: String. Optional name of the operation. Defaults to 'NoisyLinearCosineDecay'.

Methods

__call__

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__call__(
    step
)

Call self as a function.

from_config

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@classmethod
from_config(
    cls, config
)

Instantiates a LearningRateSchedule from its config.

Args:

  • config: Output of get_config().

Returns:

A LearningRateSchedule instance.

get_config

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get_config()