tf.keras.models.model_from_config
Stay organized with collections
Save and categorize content based on your preferences.
Instantiates a Keras model from its config.
tf.keras.models.model_from_config(
config, custom_objects=None
)
Usage:
# for a Functional API model
tf.keras.Model().from_config(model.get_config())
# for a Sequential model
tf.keras.Sequential().from_config(model.get_config())
Args |
config
|
Configuration dictionary.
|
custom_objects
|
Optional dictionary mapping names
(strings) to custom classes or functions to be
considered during deserialization.
|
Returns |
A Keras model instance (uncompiled).
|
Raises |
TypeError
|
if config is not a dictionary.
|
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 2022-10-27 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-10-27 UTC."],[],[]]