get_weights: Layer/Model weights as R arrays

In keras: R Interface to 'Keras'

Layer/Model weights as R arrays

Description

Layer/Model weights as R arrays

Usage

get_weights(object, trainable = NA)

set_weights(object, weights)

Arguments

object	Layer or model object
trainable	if NA (the default), all weights are returned. If ⁠TRUE, ⁠
weights	Weights as R array

Note

You can access the Layer/Model as tf.Tensors or tf.Variables at object$weights, object$trainable_weights, or object$non_trainable_weights

See Also

Other model persistence: model_to_json(), model_to_yaml(), save_model_hdf5(), save_model_tf(), save_model_weights_hdf5(), serialize_model()

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

keras documentation built on Aug. 16, 2023, 1:07 a.m.