serialize_model {keras} | R Documentation |
Model objects are external references to Keras objects which cannot be saved
and restored across R sessions. The serialize_model()
and
unserialize_model()
functions provide facilities to convert Keras models to
R objects for persistence within R data files.
serialize_model(model, include_optimizer = TRUE) unserialize_model(model, custom_objects = NULL, compile = TRUE)
model |
Keras model or R "raw" object containing serialized Keras model. |
include_optimizer |
If |
custom_objects |
Mapping class names (or function names) of custom (non-Keras) objects to class/functions (for example, custom metrics or custom loss functions). |
compile |
Whether to compile the model after loading. |
serialize_model()
returns an R "raw" object containing an hdf5
version of the Keras model. unserialize_model()
returns a Keras model.
The save_model_hdf5()
function enables saving Keras models to
external hdf5 files.
Other model persistence: get_weights
,
model_to_json
, model_to_yaml
,
save_model_hdf5
,
save_model_weights_hdf5