tf.keras.models.load_model

Loads a model saved via save_model.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.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.

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.