save_model_tf {keras} | R Documentation |
Save/Load models using SavedModel format
Description
Save/Load models using SavedModel format
Usage
save_model_tf(
object,
filepath,
overwrite = TRUE,
include_optimizer = TRUE,
signatures = NULL,
options = NULL
)
load_model_tf(filepath, custom_objects = NULL, compile = TRUE)
Arguments
object |
Model object to save |
filepath |
File path |
overwrite |
Overwrite existing file if necessary |
include_optimizer |
If |
signatures |
Signatures to save with the SavedModel. Please see the signatures
argument in |
options |
Optional |
custom_objects |
Mapping class names (or function names) of custom (non-Keras) objects to class/functions (for example, custom metrics or custom loss functions). This mapping can be done with the dict() function of reticulate. |
compile |
Whether to compile the model after loading. |
See Also
Other model persistence:
get_weights()
,
model_to_json()
,
model_to_yaml()
,
save_model_hdf5()
,
save_model_weights_hdf5()
,
serialize_model()
[Package keras version 2.15.0 Index]