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)
Keras model or R "raw" object containing serialized Keras model.
If TRUE, save optimizer's state.
Mapping class names (or function names) of custom (non-Keras) objects to class/functions (for example, custom metrics or custom loss functions).
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.
Other model persistence: get_weights,
model_to_json, model_to_yaml,
save_model_hdf5,
save_model_weights_hdf5