tf.keras.models.save_model( model, filepath, overwrite=True, include_optimizer=True )
Saves a model to a HDF5 file.
The saved model contains: - the model's configuration (topology) - the model's weights - the model's optimizer's state (if any)
Thus the saved model can be reinstantiated in the exact same state, without any of the code used for model definition or training.
model: Keras model instance to be saved.
filepath: One of the following: - String, path where to save the model -
h5py.Fileobject where to save the model
overwrite: Whether we should overwrite any existing model at the target location, or instead ask the user with a manual prompt.
include_optimizer: If True, save optimizer's state together.
ImportError: if h5py is not available.