tf.keras.optimizers.schedules.LearningRateSchedule
Stay organized with collections
Save and categorize content based on your preferences.
A serializable learning rate decay schedule.
LearningRateSchedules can be passed in as the learning rate of optimizers in
tf.keras.optimizers. They can be serialized and deserialized using
tf.keras.optimizers.schedules.serialize and
tf.keras.optimizers.schedules.deserialize.
Methods
from_config
View source
@classmethod
from_config(
config
)
Instantiates a LearningRateSchedule from its config.
| Args |
|---|
config
|
Output of get_config().
|
| Returns |
|---|
A LearningRateSchedule instance.
|
get_config
View source
@abc.abstractmethod
get_config()
__call__
View source
@abc.abstractmethod
__call__(
step
)
Call self as a function.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
TensorFlow 1 version
View source on GitHub