tf.keras.optimizers.serialize
Stay organized with collections
Save and categorize content based on your preferences.
Serialize the optimizer configuration to JSON compatible python dict.
tf.keras.optimizers.serialize(
optimizer
)
The configuration can be used for persistence and reconstruct the Optimizer
instance again.
tf.keras.optimizers.serialize(tf.keras.optimizers.SGD())
{'class_name': 'SGD', 'config': {'name': 'SGD', 'learning_rate': 0.01,
'decay': 0.0, 'momentum': 0.0,
'nesterov': False} }
Args |
optimizer
|
An Optimizer instance to serialize.
|
Returns |
Python dict which contains the configuration of the input optimizer.
|
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. Some content is licensed under the numpy license.
Last updated 2021-08-16 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-08-16 UTC."],[],[]]