'Loads the model parameters (per layer weights, epochs run, optimizer
states) saved in param_path from serialize().
Arguments:
param_path (str): File containing serialized python dict with layer
weights and states.
load_states (bool):  if False, then only the weights will be loaded
into a model in which the layers have already been
created, otherwise will (re)create the layers from
the serialized parameters and set the learning
states as well'

def load_params(self, param_path, load_states=True):

    self.deserialize(load_obj(param_path), load_states=load_states)
    logger.info('Model    weights    loaded    from    %s', param_path)
