tf.keras.models.model_from_yaml

Parses a yaml model configuration file and returns a model instance.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.models.model_from_yaml

tf.keras.models.model_from_yaml(
    yaml_string, custom_objects=None
)

Usage:

model = tf.keras.Sequential([
    tf.keras.layers.Dense(5, input_shape=(3,)),
    tf.keras.layers.Softmax()])
try:
  import yaml
  config = model.to_yaml()
  loaded_model = tf.keras.models.model_from_yaml(config)
except ImportError:
  pass

Arguments
yaml_string	YAML string or open file encoding a model configuration.
custom_objects	Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization.

Returns
A Keras model instance (uncompiled).

Raises
ImportError	if yaml module is not found.