get_config: Layer/Model configuration

In rstudio/keras: R Interface to 'Keras'

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 new_layer_class() or similar.

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()

rstudio/keras documentation built on May 8, 2024, 7:36 a.m.