tf.keras.models.load_model

Loads a model saved via save_model.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.models.load_model, `tf.compat.v2.keras.models.load_model`

tf.keras.models.load_model(
    filepath, custom_objects=None, compile=True
)

Arguments
`filepath`	One of the following: String, path to the saved model `h5py.File` object from which to load the model
`custom_objects`	Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization.
`compile`	Boolean, whether to compile the model after loading.

Arguments

filepath

One of the following:

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

compile Boolean, whether to compile the model after loading.

Returns
A Keras model instance. If an optimizer was found as part of the saved model, the model is already compiled. Otherwise, the model is uncompiled and a warning will be displayed. When `compile` is set to False, the compilation is omitted without any warning.

Raises
`ImportError`	if loading from an hdf5 file and h5py is not available.
`IOError`	In case of an invalid savefile.

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Last updated 2020-10-01 UTC.