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tf.keras.layers.deserialize

TensorFlow 2.0 version View source on GitHub

Instantiates a layer from a config dictionary.

Aliases:

  • tf.compat.v1.keras.layers.deserialize
  • tf.compat.v2.keras.layers.deserialize
tf.keras.layers.deserialize(
    config,
    custom_objects=None
)

Arguments:

  • 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

Returns:

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