Serialize the optimizer configuration to JSON compatible python dict.
View aliases
Compat aliases for migration
See Migration guide for more details.
`tf.compat.v1.keras.optimizers.serialize`
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} }
Returns | |
---|---|
Python dict which contains the configuration of the input optimizer. |