tf.keras.layers.deserialize

Instantiates a layer from a config dictionary.

Compat aliases for migration

See Migration guide for more details.

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...)

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Last updated 2020-10-01 UTC.

Arguments