Is it possible to learn and tune the neural network in pytorch with updating network parameters and weigths?
I mean Can I do the proccess of the learning the neural network with updating only the weights and parameters by using " state_dict.items() " ? Or the only way to learn the network is using the loss.backward() and optimzer.step() ?
thanks