tf.keras.models.load_model | TensorFlow v1.15.0 (original) (raw)
tf.keras.models.load_model
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Loads a model saved via save_model.
View aliases
Compat aliases for migration
SeeMigration 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. |
| 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.