tf.keras.layers.deserialize

TensorFlow 1 version View source on GitHub

Instantiates a layer from a config dictionary.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.deserialize

 
tf.keras.layers.deserialize(
    config, custom_objects=None
)

config dict of the form {'class_name': str, 'config': dict}
custom_objects dict mapping class names (or function names) of custom (non-Keras) objects to class/functions

Layer instance (may be Model, Sequential, Network, Layer...)