Use clstm to handwriting recognition like the IAM dataset

[hn18001]

Hello, have anyone tried clstm to handwriting recognition? I have just applied it for the IAM dataset(http://www.fki.inf.unibe.ch/databases/iam-handwriting-database), but there isn't a good performance(33.5% error ratio after 200,000 iterations). I used the config like run-uw3-500, and tried to modify the parameters(e.g. set hidden to 500, 300, set lrate to 1e-4, 1e-3), but the performances are almost the same. Can anyone give me some suggestions? Many thanks~