The synchronization namespace implements the get_network_copy () function for getting the current state of the neural network from the backend. For instance, you can use this function to save neural network parameters whenever there is a shift in the accuracy of its predictions or at regular intervals during execution. You can compare the quality of the saved neural network copies to select the best one for downloading to the device.