model_from_saved_model: Load a Keras model from the Saved Model format
In keras: R Interface to 'Keras'
View source: R/model-persistence.R
model_from_saved_model R Documentation
Load a Keras model from the Saved Model format
Description
Load a Keras model from the Saved Model format
Usage
model_from_saved_model(saved_model_path, custom_objects = NULL)
Arguments
saved_model_path
a string specifying the path to the SavedModel directory.
custom_objects
Optional dictionary mapping string names to custom classes
or functions (e.g. custom loss functions).
Value
a Keras model.
Note
This functionality is experimental and only works with TensorFlow
version >= "2.0".
See Also
Other saved_model:
model_to_saved_model()
keras documentation built on May 29, 2024, 3:20 a.m.
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View source: R/model-persistence.R
| model_from_saved_model | R Documentation |
Load a Keras model from the Saved Model format
Description
Load a Keras model from the Saved Model format
Usage
model_from_saved_model(saved_model_path, custom_objects = NULL)
Arguments
saved_model_path |
a string specifying the path to the SavedModel directory. |
custom_objects |
Optional dictionary mapping string names to custom classes or functions (e.g. custom loss functions). |
Value
a Keras model.
Note
This functionality is experimental and only works with TensorFlow version >= "2.0".
See Also
Other saved_model:
model_to_saved_model()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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