tf.keras.layers.deserialize

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Instantiates a layer from a config dictionary.

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...)