tf.keras.utils.deserialize_keras_object

Turns the serialized form of a Keras object back into an actual object.

This function is for mid-level library implementers rather than end users.

Importantly, this utility requires you to provide the dict of module_objects to use for looking up the object config; this is not populated by default. If you need a deserialization utility that has preexisting knowledge of built-in Keras objects, use e.g. keras.layers.deserialize(config), keras.metrics.deserialize(config), etc.

Calling deserialize_keras_object while underneath the SharedObjectLoadingScope context manager will cause any already-seen shared objects to be returned as-is rather than creating a new object.

identifier the serialized form of the object.
module_objects A dictionary of built-in objects to look the name up in. Generally, module_objects is provided by midlevel library implementers.
custom_objects A dictionary of custom objects to look the name up in. Generally, custom_objects is provided by the end user.