tf.keras.optimizers.serialize
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Serialize the optimizer configuration to JSON compatible python dict.
tf.keras.optimizers.serialize(
optimizer, use_legacy_format=False
)
The configuration can be used for persistence and reconstruct the
Optimizer instance again.
tf.keras.optimizers.serialize(tf.keras.optimizers.legacy.SGD())
{'module': 'keras.optimizers.legacy', 'class_name': 'SGD', 'config': {'name': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.0, 'nesterov': False}, 'registered_name': None}
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.keras.optimizers.serialize\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.14.0/keras/optimizers/__init__.py#L74-L108) |\n\nSerialize the optimizer configuration to JSON compatible python dict.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.optimizers.serialize`](https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/serialize)\n\n\u003cbr /\u003e\n\n tf.keras.optimizers.serialize(\n optimizer, use_legacy_format=False\n )\n\nThe configuration can be used for persistence and reconstruct the\n`Optimizer` instance again. \n\n tf.keras.optimizers.serialize(tf.keras.optimizers.legacy.SGD())\n {'module': 'keras.optimizers.legacy', 'class_name': 'SGD', 'config': {'name': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.0, 'nesterov': False}, 'registered_name': None}"]]
View source on GitHub