PyTorch: What's the difference between state_dict and parameters()?

Question

In order to access a model\'s parameters in pytorch, I saw two methods:

using state_dict and using parameters()

I wonder what\'s the difference, or if one is good

Answer 1

Besides the differences in @kHarshit 's answer, the attribute requires_grad of trainable tensors in net.parameters() is True, while False in net.state_dict()