tf.keras.models.model_from_config

Instantiates a Keras model from its config.

View aliases

Compat aliases for migration

tf.compat.v1.keras.models.model_from_config

tf.keras.models.model_from_config(
    config, custom_objects=None
)

Usage:

# for a Functional API model
tf.keras.Model().from_config(model.get_config())

# for a Sequential model
tf.keras.Sequential().from_config(model.get_config())

Arguments
`config`	Configuration dictionary.
`custom_objects`	Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization.

Returns
A Keras model instance (uncompiled).

Raises
`TypeError`	if `config` is not a dictionary.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/models/model_from_config