tf.keras.initializers.get | TensorFlow v2.16.1 (original) (raw)
tf.keras.initializers.get
Stay organized with collections Save and categorize content based on your preferences.
Retrieves a Keras initializer object via an identifier.
tf.keras.initializers.get(
identifier
)
The identifier may be the string name of a initializers function or class (case-sensitively).
identifier = 'Ones'
keras.initializers.deserialize(identifier)
<...keras.initializers.initializers.Ones...>
You can also specify config of the initializer to this function by passing dict containing class_name and config as an identifier. Also note that the class_name must map to a Initializer class.
cfg = {'class_name': 'Ones', 'config': {} }
keras.initializers.deserialize(cfg)
<...keras.initializers.initializers.Ones...>
In the case that the identifier is a class, this method will return a new instance of the class by its constructor.
| Args | |
|---|---|
| identifier | String or dict that contains the initializer name or configurations. |
| Returns |
|---|
| Initializer instance base on the input identifier. |
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 2024-06-07 UTC.