In C$6\_1,$ freezing the parameters before the output layer of net to those of the source model and not updating them during training is another option for transfer learning. How does the accuracy of the model change? You can use the following code to disable parameter update.

for param in netparameters$)$:

param.requires$\_$grad $=$ False