| View source on GitHub | 
Retrieve a Keras initializer by the identifier.
tf.keras.initializers.get(
    identifier
)
  The identifier may be the string name of a initializers function or class ( case-sensitively).
identifier = 'Ones' tf.keras.initializers.deserialize(identifier) <...keras.initializers.initializers_v2.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': {} }
tf.keras.initializers.deserialize(cfg)
<...keras.initializers.initializers_v2.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. | 
| Raises | |
|---|---|
| ValueError | If the input identifier is not a supported type or in a bad format. | 
    © 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
    https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/initializers/get