tf.keras.models.load_model

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Loads a model saved via save_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.