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keras (version 2.13.0)

get_config: 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)

Value

get_config() returns an object with the configuration, from_config() returns a re-instantiation of the object.

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.

See Also

Other model functions: compile.keras.engine.training.Model(), evaluate.keras.engine.training.Model(), evaluate_generator(), fit.keras.engine.training.Model(), fit_generator(), get_layer(), keras_model_sequential(), keras_model(), multi_gpu_model(), pop_layer(), predict.keras.engine.training.Model(), predict_generator(), predict_on_batch(), predict_proba(), summary.keras.engine.training.Model(), train_on_batch()

Other layer methods: count_params(), get_input_at(), get_weights(), reset_states()