Hi, Is my understanding that little research has been done yet on distributed computation (without access to shared memory) in RNN. I also look forward to contributing in this respect.
> El 03/11/2015, a las 16:00, Disha Shrivastava <dishu....@gmail.com> escribió: > > I would love to work on this and ask for ideas on how it can be done or can > suggest some papers as starting point. Also, I wanted to know if Spark would > be an ideal platform to have a distributive implementation for RNN/LSTM > >> On Mon, Nov 2, 2015 at 10:52 AM, Sasaki Kai <lewua...@me.com> wrote: >> Hi, Disha >> >> There seems to be no JIRA on RNN/LSTM directly. But there were several >> tickets about other type of networks regarding deep learning. >> >> Stacked Auto Encoder >> https://issues.apache.org/jira/browse/SPARK-2623 >> CNN >> https://issues.apache.org/jira/browse/SPARK-9129 >> https://issues.apache.org/jira/browse/SPARK-9273 >> >> Roadmap of MLlib deep learning >> https://issues.apache.org/jira/browse/SPARK-5575 >> >> I think it may be good to join the discussion on SPARK-5575. >> Best >> >> Kai Sasaki >> >> >>> On Nov 2, 2015, at 1:59 PM, Disha Shrivastava <dishu....@gmail.com> wrote: >>> >>> Hi, >>> >>> I wanted to know if someone is working on implementing RNN/LSTM in Spark or >>> has already done. I am also willing to contribute to it and get some >>> guidance on how to go about it. >>> >>> Thanks and Regards >>> Disha >>> Masters Student, IIT Delhi >
