Ajay Talati

So to make some concrete progress on this, I think we need a really simple textbook problem and test data set, suitable for LSTM. At the moment the simplest problem...

Some new open source code for LSTM in Torch, from the Oxford University Computer Science Masters Course. https://github.com/oxford-cs-ml-2015/practical6 It looks pretty good, seems to be based a lot on [learning...

Hey Soumith, > I am happy to help in any way. Thanks man for the show of interest and support - hopefully I'll get some results in the next few...

Hi Frédéric, > I won't have time to work on it, but I can answer questions on the code. _that's great that you're offering to support Theano!_ At the moment...

Hi, kyunghyuncho yes you're absolutely right, my wording doesn’t make any sense? I'm interested in using LSTM for encoder and decoder networks. For this particular application any RNN will do,...

Hi, think you've made the mistake of trying to fit applications to the test problems I suggested? > I think I understand what you meant by 'internal state tracking'. So,...

@nouiz @kyunghyuncho may I ask if you guys are interested in coding a LSTM variational autoencoder using Theano? Is this a project which would be fun for you both, and...

So coding the LSTM variational autoencoder is straightforward using `nngraph` and the tricks we learnt from Oxford University on Wednesday. I'm guessing that it's going to be fairly straightforward in...

Hi @nouiz and @kyunghyuncho No problem guy's I can understand that this is not a high priority for anyone. It's really nice that you both took the time to show...

Hey @nicholas-leonard and @soumith how's it going? I've got a torch version of the [DRAW paper](http://arxiv.org/pdf/1502.04623v1.pdf) implemented as development code. I'm still testing the attention mechanisms for the full version...