There's an element of randomness in the generated samples. It does what it predicts a human would do. If it thinks there is a 1% chance a human would do move the cursor up, then it will have a 1% chance of doing that as well.
Since the net can't really be 100% sure of anything, it leaves itself a little uncertainty in case the human does something crazy. So sometimes the result will seem to be a little random than real writing because of it's uncertainty.
The bias parameter tries to fix this by biasing it's output towards more probable sequences.
I don't know what data it's using - it's quite possible it's corrupted by people drawing randomly or something.
Since the net can't really be 100% sure of anything, it leaves itself a little uncertainty in case the human does something crazy. So sometimes the result will seem to be a little random than real writing because of it's uncertainty.
The bias parameter tries to fix this by biasing it's output towards more probable sequences.
I don't know what data it's using - it's quite possible it's corrupted by people drawing randomly or something.