save_model_tf: Save/Load models using SavedModel format

In keras: R Interface to 'Keras'

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 TRUE, save optimizer's state.
signatures	Signatures to save with the SavedModel. Please see the signatures argument in tf$saved_model$save for details.
options	Optional tf$saved_model$SaveOptions object that specifies options for saving to SavedModel
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()

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