Question 1: Short answer
mediumAI-checkedDeep Learning Frameworksbn = nn.BatchNorm1d(10)
print(sum(p.numel() for p in bn.parameters()), len(bn.state_dict()))
The line prints (trainable numbers) and (entries of the state dict).
Fill in every blank (hints in the boxes). Enter moves to the next blank.