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).
get_config(object)from_config(config, custom_objects = NULL)
get_config() returns an object with the configuration,
from_config() returns a re-instantiation of the object.
Layer or model object
Object with layer or model configuration
list of custom objects needed to instantiate the layer,
e.g., custom layers defined by new_layer_class() or similar.
Other model functions:
get_layer()
get_state_tree()
keras_model()
keras_model_sequential()
pop_layer()
set_state_tree()
summary.keras.src.models.model.Model()
Other layer methods:
count_params()
get_weights()
quantize_weights()
reset_state()