Save and re-load models configurations as YAML Note that the representation does not include the weights, only the architecture.
model_to_yaml(object)model_from_yaml(yaml, custom_objects = NULL)
Model object to save
YAML with model configuration
Optional named list mapping names to custom classes or functions to be considered during deserialization.
Other model persistence: get_weights,
model_to_json,
save_model_hdf5,
save_model_weights_hdf5,
serialize_model