There seems to be a broken reference in section 8.5.3 in the second paragraph " :numref:
Hi @HarryDC, eagle eyes! Can you post an issue on our github? Thanks for contributing!
Thanks. Now it’s fixed. See comments in https://github.com/d2l-ai/d2l-en/issues/1448
the second traning (use_random_iter=True) uses the model trained by the first time:
(1)the ppl is from about 2.0
(2)the curve is bumpy
I argee with “uses the model trained by the first time”. Thank you for reminding us.
use_random_iter=True maybe is a way to converge better when it is hard to converge our model.
There is a statement H, = state in function rnn.
I’ve never seen such a usage. What does it mean?
I asked some colleagues around me, but nobody knows.
Can somebody kindly explain it to me?
This statement unpacks an iterable of length one
x, =  >>x 2
The second training still uses the same data iterator which is sequential not random. Am I missing something?