model_to_yaml: Model configuration as YAML

In keras: R Interface to 'Keras'

Model configuration as YAML

Description

Save and re-load models configurations as YAML Note that the representation does not include the weights, only the architecture.

Usage

model_to_yaml(object)

model_from_yaml(yaml, custom_objects = NULL)

Arguments

object	Model object to save
yaml	YAML with model configuration
custom_objects	Optional named list mapping names to custom classes or functions to be considered during deserialization.

See Also

Other model persistence: get_weights(), model_to_json(), save_model_hdf5(), save_model_tf(), save_model_weights_hdf5(), serialize_model()

keras documentation built on May 29, 2024, 3:20 a.m.