Add recurrent_dropout and recurrent_regularizer to LSTM Layer

[bmigette]

Hello,

Would be great to consider adding ecurrent_dropout and recurrent_regularizer parameters to LSTM Layer
See: https://keras.io/layers/recurrent/#lstm

[deepakkumar1984]

LSTM is bit tricky and I am in need of support from CNTK team. If you know any developers who understand RNN very well please please request him/her to contribute.

[bmigette]

I know how theorie goes for RNN And dropout, however I am not familiar with CNTK At all...

Maybe this could help:
https://stackoverflow.com/questions/44924690/keras-the-difference-between-lstm-dropout-and-lstm-recurrent-dropout

https://pdfs.semanticscholar.org/3061/db5aab0b3f6070ea0f19f8e76470e44aefa5.pdf

http://www.aclweb.org/anthology/C16-1165

If you have support from CNTK Team, maybe worth to ask them if there's some example available.

[deepakkumar1984]

I have asked for help. Will wait and hopefully can implement soon.

[bmigette]

Good stuff !

[bmigette]

Any update on this ?