| get_config {keras3} | R Documentation |
Layer/Model configuration
Description
A layer config is an object returned from get_config() that contains the
configuration of a layer or model. The same layer or model can be
reinstantiated later (without its trained weights) from this configuration
using from_config(). The config does not include connectivity information,
nor the class name (those are handled externally).
Usage
get_config(object)
from_config(config, custom_objects = NULL)
Arguments
object |
Layer or model object |
config |
Object with layer or model configuration |
custom_objects |
list of custom objects needed to instantiate the layer,
e.g., custom layers defined by |
Value
get_config() returns an object with the configuration,
from_config() returns a re-instantiation of the object.
Note
Objects returned from get_config() are not serializable via RDS. If
you want to save and restore a model across sessions, you can use
save_model_config() (for model configuration only, not weights)
or save_model() to save the model configuration and weights
to the filesystem.
See Also
Other model functions:
get_layer()
keras_model()
keras_model_sequential()
pop_layer()
summary.keras.src.models.model.Model()
Other layer methods:
count_params()
get_weights()
quantize_weights()
reset_state()